Method to match organ donors to recipients for transplantation

ABSTRACT

This invention describes an allogenomics mismatch scoring method that estimates the genomic incompatibility between potential organ donors and a transplant recipient. The allogenomics method addresses immunological concerns and compares genotype information from matched, or potential, donors and recipients. The allogenomics method uses genomic data available before transplantation and predicts kidney graft function for greater than three years after transplantation. The strength of the inverse correlation between pre-transplantation genomic mismatches and transplant organ function increases with the time after transplantation: a low allogenomics mismatch score correlates with better acceptance and function of a donor transplant over time.

This application claims benefit of priority to the filing date of U.S. Provisional Application Ser. No. 61/928,785, filed Jan. 17, 2014, the contents of which are specifically incorporated by reference herein in their entity.

BACKGROUND

Most patients who experience End Stage Renal Disease (ESRD) can benefit from kidney transplantation. The initial series of kidney transplants were performed in the 1950s in the USA and France and between identical twins. The introduction of potent immunosuppressive regimens, human leukocyte antigen (HLA)-typing for matching of recipients with donors, and cross matching (testing of recipient's serum against donor's cells for the presence of preformed antibodies) in the 1960s and 1970s made it possible to extend kidney transplantation to unrelated living donors and organs from deceased donors. The short-term outcomes of renal grafts have steadily improved since the early transplants with the refinement of immunosuppressive regimens, HLA compatibility, and a better understanding of when and how immunosuppressive drugs can be used to manage the health of the recipient and function of the graft. See, Opelz et al. Collaborative Transplant Study. Rev Immunogenet. 1(3):334-42 (1999); Angaswamy et al., Human Immunology 74(11):1478-85 (2013); Leventhal et al., J Am Soc Nephrol. 24(9):1376-85 (2013).

Despite these advances, data collected across the USA shows that 50% of kidney allografts fail within ten years of transplantation (Handbook of clinical transplantation. 4th edition ed. Danovitch G M, editor.: Lippincott Williams & Wilkins; 2009). Hence, yet uncharacterized genomic loci may influence donor/recipient compatibility.

Kidney transplant recipients suffer from a number of complications. Many renal transplant recipients experience an episode of acute cellular rejection (ACR), when the immune system of the recipient targets the transplanted donor organ. Adjusting the patient's immunosuppressive regiment may control episodes of ACR. Many transplant patients develop chronic rejection/chronic allograft nephropathy (CAN), which manifest itself in the graft by interstitial fibrosis and tubular atrophy (IF/TA) and a decline in graft function over time. ACR and CAN are routinely diagnosed by histopathological analysis of graft biopsies. While ACR is mostly a reversible adverse event, CAN, at the present time, is a relentlessly progressive condition for which no treatment is available. CAN progression is associated with loss of graft function, which eventually leads to graft loss. Chronic allograft nephropathy is poorly understood, and explains more than 50% of kidney graft losses.

Past studies have demonstrated the importance of HLA-mismatches on graft outcome, leading to important clinical strategies for graft allocation in many countries, including the U.S. As these strategies developed, it has become clearer that HLA mismatches represent only a component, albeit an important component, of the mismatches between donor and recipient. This suggests that mismatch at other loci in the genome, even remote from the HLA locus, may play a role influencing graft outcome. Indeed, fully HLA-matched kidney grafts may still develop acute cellular rejection as well as chronic allograft nephropathy, and more importantly every transplant, including recipients of fully HLA matched transplants need to be treated with chronic/maintenance immunosuppressive therapy to prevent rejection.

Hence, improved methods for matching donor organs to recipients are needed.

SUMMARY

This application discloses a method, called the allogenomics method, to determine the best match of a donor organ to a recipient in need of a transplanted organ that compares the genomes of potential donors with the genome of a transplant recipient. The method estimates the incompatibility between pairs of potential donors and transplant recipients by counting the number of protein fragments encoded by the donor genome that may be recognized as non-self by the recipient immune system. The method defines a quantitative estimate of the allogenomics incompatibility, called the allogenomics mismatch score. This estimate can be used to predict which donors are better candidates for providing organs for transplantation to a given recipient, in order to minimize loss of graft function and graft loss post-transplantation.

One aspect is a method for identifying at least one match among multiple potential organ donors for at least one recipient in need of a transplanted organ, where the method comprises:

-   -   (a) assaying to determine amino acid mismatches encoded by the         donor genomes that at least one selected recipient immune system         could recognize as non-self;     -   (b) separately summing the number of amino acid mismatches for         each donor compared to at least one selected recipient where the         mismatches can be recognized as non-self by the selected         recipient(s);     -   (c) determining an allogenomics mismatch score Δ(r,d) for each         selected recipient r and each donor d, which is a sum of         mismatches as shown in Equation 1:

$\begin{matrix} {{\Delta \left( {r,d} \right)} = {\sum\limits_{p \in P}\; {\delta_{p}\left\lbrack {{G_{rp} = {{genotype}\left( {r,p} \right)}},{G_{dp} = {{genotype}\left( {d,p} \right)}}} \right\rbrack}}} & {{Equation}\mspace{14mu} 1} \end{matrix}$

-   -   -   where:             -   δ_(p) is defined in Equation 2;             -   P is a set of all genomic positions of interest;             -   p is a polymorphic site in a set P;             -   G_(rp) is the genotype of the recipient r at genomic                 site/position p;             -   G_(dp) is the genotype of the donor d at site p;

$\begin{matrix} {{\delta_{p}\left( {G_{rp},G_{dp}} \right)} = {\sum\limits_{a \in G_{dp}}\; \left\{ \begin{matrix} 0 & {{{if}\mspace{14mu} a} \in G_{r,p}} \\ 1 & {otherwise} \end{matrix} \right.}} & {{Equation}\mspace{14mu} 2} \end{matrix}$

-   -   -   where             -   a is an allele; and

    -   (d) identifying a match among the multiple potential organ         donors for at least one recipient in need of a transplanted         organ by identifying one or more donor with an allogenomics         mismatch score that is below a threshold value, or by         identifying the donor with the lowest allogenomics score for a         selected recipient.

Another aspect is a method that includes:

-   -   (a) assaying to determine amino acid mismatches encoded a donor         organ genome that the immune system of the recipient of the         donor organ could recognize as non-self;     -   (b) summing the number of donor amino acid mismatches compared         to the recipient where the mismatches can be recognized as         non-self by recipient;     -   (c) determining an allogenomics mismatch score Δ(r,d) for the         recipient r and the donor d, which is a sum of mismatches as         shown in Equation 1:

$\begin{matrix} {{\Delta \left( {r,d} \right)} = {\sum\limits_{p \in P}\; {\delta_{p}\left\lbrack {{G_{rp} = {{genotype}\left( {r,p} \right)}},{G_{dp} = {{genotype}\left( {d,p} \right)}}} \right\rbrack}}} & {{Equation}\mspace{14mu} 1} \end{matrix}$

-   -   -   where:             -   δ_(p) is defined in Equation 2;             -   P is a set of all genomic positions of interest;             -   p is a polymorphic site in a set P;             -   G_(rp) is the genotype of the recipient rat genomic                 site/position p;             -   G_(dp) is the genotype of the donor d at site p;

$\begin{matrix} {{\delta_{p}\left( {G_{rp},G_{dp}} \right)} = {\sum\limits_{a \in G_{dp}}\; \left\{ \begin{matrix} 0 & {{{if}\mspace{14mu} a} \in G_{r,p}} \\ 1 & {otherwise} \end{matrix} \right.}} & {{Equation}\mspace{14mu} 2} \end{matrix}$

-   -   -   where             -   a is an allele;

    -   (d) determining whether the allogenomics mismatch score is         greater than a threshold; and

    -   (e) identifying whether the recipient is in need of treatment,         or may develop a need for treatment, when the allogenomics         mismatch score is greater than a threshold value.

Another aspect is an apparatus that includes:

-   -   (a) a component for separately assaying amino acid mismatches         encoded by multiple donor genomes that at least one selected         recipient immune system could recognize as non-self;     -   (b) a component for separately summing the donor amino acid         mismatches assayed by comparison to amino acids encoded by each         selected recipient;     -   (c) a component for determining an allogenomics mismatch score         Δ(r,d) for at least one recipient r and one or more donor d,         which is a sum of mismatches as shown in Equation 1:

$\begin{matrix} {{\Delta \left( {r,d} \right)} = {\sum\limits_{p \in P}\; {\delta_{p}\left\lbrack {{G_{rp} = {{genotype}\left( {r,p} \right)}},{G_{dp} = {{genotype}\left( {d,p} \right)}}} \right\rbrack}}} & {{Equation}\mspace{14mu} 1} \end{matrix}$

-   -   -   where:             -   δ_(p) is defined in Equation 2;             -   P is a set of all genomic positions of interest;             -   p is a polymorphic site in a set P;             -   G_(rp) is the genotype of the recipient r at genomic                 site/position p;             -   G_(dp) is the genotype of the donor d at site p;

$\begin{matrix} {{\delta_{p}\left( {G_{rp},G_{dp}} \right)} = {\sum\limits_{a \in G_{dp}}\; \left\{ \begin{matrix} 0 & {{{if}\mspace{14mu} a} \in G_{r,p}} \\ 1 & {otherwise} \end{matrix} \right.}} & {{Equation}\mspace{14mu} 2} \end{matrix}$

-   -   -   where a is an allele; and

    -   (d) a component for determining a match among potential organ         donors for at least one recipient in need of a transplanted         organ by identifying one or more donor with a allogenomics         mismatch score less than a threshold value, or by identifying         the donor with the lowest allogenomics mismatch score for a         selected recipient.

The methods described herein can be used to evaluate a variety of donor organs for transplantation into recipients who may have need therefor. For example, the donor organ can be a kidney, a heart, a liver, a lung, a bladder, an intestine, a trachea, an esophagus, a pancreas, a stomach, a thymus, an ovary, a cervix, a uterus, a vagina, a penis, a prostate, a testes, or any combination or part thereof. Tissues from donors can also be evaluated to identify a match for transplantation into a recipient. For example, donor tissues such as vascular tissues, neuronal tissues, muscular tissues, adipose tissues, pancreatic islet tissues, bone tissues, bone marrow, skin, dermal tissues, stem cells, connective tissues, or a combination thereof can be evaluated and compared to potential recipients using the methods described herein.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1A-1C illustrates that recipient/donor incompatibility can be quantified by exome sequencing and calculation of allogenomics mismatch score. FIG. 1A is a schematic diagram illustrating the inventive concept that post-transplant kidney graft function is associated with the number of amino acids coded by the donor genome that the recipient immune system would recognize as non-self. FIG. 1B is an example of donor/recipient amino-acid mismatches at one protein position, and resulting allogenomics score contributions. The allogenomics mismatch score is calculated by summing contributions over a set of genomic polymorphisms (see, e.g., Example 5 for details). FIG. 1C shows equations for the allogenomics model. Score contributions are summed across all genomic positions of interest (set P) to yield the allogenomics score Δ(r,d). G_(rp): genotype of the recipient r at genomic site/position p. G_(dp): genotype of the donor d at site p. Alleles of a genotype are denoted with the letter a.

FIG. 2A-2B graphically illustrate the correlation between the allogenomics mismatch score estimated with the method and graft function post transplantation. Both estimated glomerular filtration rate (eGFR, FIG. 2A) and creatinemia (FIG. 2B) are shown. Both eGFR and creatinemia are clinical markers of graft function and are also predictors of future graft loss. The plots show that these graft function markers correlate in a time dependent fashion with the allogenomics mismatch score estimated with the method described in this application. The strongest correlations are observed at 36 months post-transplantation.

FIG. 3A-3F graphically illustrate the relationship between the allogenomics mismatch score and kidney graft function at 12, 24 or 36 months following transplantation in the Discovery cohort. FIG. 3A graphically illustrates the relationship between the allogenomics mismatch score and recipient serum creatinine levels at 12 months post-transplantation. FIG. 3B graphically illustrates the relationship between the allogenomics mismatch score and recipient serum creatinine levels at 24 months post-transplantation. FIG. 3C graphically illustrates the relationship between the allogenomics mismatch score and recipient serum creatinine levels at 36 months post-transplantation. FIG. 3D graphically illustrates the relationship between the allogenomics mismatch score and recipient estimated glomerular filtration rate (eGFR) levels at 12 months post-transplantation. FIG. 3E graphically illustrates the relationship between the allogenomics mismatch score and recipient estimated glomerular filtration rate (eGFR) levels at 24 months post-transplantation. FIG. 3F graphically illustrates the relationship between the allogenomics mismatch score and recipient estimated glomerular filtration rate (eGFR) levels at 36 months post-transplantation. DNA was isolated from 10 pairs of kidney graft recipients and their living kidney donors (Discovery set). Whole exome sequencing of the donor genomes and recipient genomes was performed and the sequencing information was used to calculate allogenomics mismatch scores based on amino acid mismatches in transmembrane proteins. The graft function markers correlate in a time dependent fashion with the allogenomics mismatch score. The strongest correlations were observed at 36 months post-transplantation.

FIG. 4A-4H graphically illustrates the relationships between allogenomics mismatch scores and kidney graft function at 12, 24, 36 or 48 months following transplantation in the Validation Cohort. FIG. 4A graphically illustrates the relationship between the allogenomics mismatch score and recipient serum creatinine levels at 12 months post-transplantation. FIG. 4B graphically illustrates the relationship between the allogenomics mismatch score and recipient serum creatinine levels at 24 months post-transplantation. FIG. 4C graphically illustrates the relationship between the allogenomics mismatch score and recipient serum creatinine levels at 36 months post-transplantation. FIG. 4D graphically illustrates the relationship between the allogenomics mismatch score and recipient serum creatinine levels at 48 months post-transplantation. FIG. 4E graphically illustrates the relationship between the allogenomics mismatch score and recipient estimated glomerular filtration rate (eGFR) levels at 12 months post-transplantation. FIG. 4F graphically illustrates the relationship between the allogenomics mismatch score and recipient estimated glomerular filtration rate (eGFR) levels at 24 months post-transplantation. FIG. 4G graphically illustrates the relationship between the allogenomics mismatch score and recipient estimated glomerular filtration rate (eGFR) levels at 36 months post-transplantation. FIG. 4H graphically illustrates the relationship between the allogenomics mismatch score and recipient estimated glomerular filtration rate (eGFR) levels at 48 months post-transplantation. DNA was isolated from 24-pairs of kidney graft recipients and their living kidney donors (Validation set). Whole exome sequencing of the donor genomes and recipient genomes was performed and the sequencing information was used to calculate allogenomics mismatch scores based on amino acid mismatches in transmembrane proteins. The graft function markers correlate in a time dependent fashion with the allogenomics mismatch score. The strongest correlations were observed at 36 and 48 months post-transplantation.

FIG. 5A-5C illustrates the model trained on the Discovery cohort applied to the Validation cohort. FIG. 5A is a schematic diagram of the method that was used to train a model to predict eGFR on the discovery cohort (using eGFR at 36 months) and used the trained, fixed, model to predict eGFR at 36 months and 48 months for recipients of the Validation cohort. The trained model was eGFR=109.031825038751-0.0404193475856964*allogenomics_mismatch_score. FIG. 5B graphically illustrates correlation between predicted eGFR and observed eGFR on the Validation cohort at 36 months post transplantation. FIG. 5B graphically illustrates correlation between predicted eGFR and observed eGFR on the Validation cohort at 48 months post transplantation.

FIG. 6A-6B illustrates the model trained on the Validation cohort applied to the Discovery cohort. FIG. 6A is a schematic diagram illustrating the process of training models to predict serum creatinine and eGFR on the Validation cohort and then using the trained, fixed, model to predict serum creatinine and eGFR for recipients of the Discovery cohort. FIG. 6B graphically illustrates correlation between the eGFR predicted by the fixed model and that observed in the Validation cohort. Parameters of the trained models were: a=82.12310, b=−0.002528.

FIG. 7A-7D graphically illustrates relationships between allogenomics mismatch scores and the HLA loci. Discovery and Validation cohorts were combined to examine the relationship of the allogenomics mismatch score to the HLA-A, B and DR mismatch between the recipient and the kidney donor. FIG. 7A graphically illustrates the allogenomics mismatch scores calculated over all transmembrane proteins (Panel A). FIG. 7B graphically illustrates the allogenomics mismatch scores restricted to the HLA A, HLA B, and HLA DR loci. FIG. 7C graphically illustrates serum creatinine levels correlated with the allogenomics mismatch scores relating to the number of mismatches in the A,B, and DR HLA loci for the complete cohort. FIG. 8D graphically illustrates estimated glomerular filtration rate (eGFR) levels correlated with the allogenomics mismatch scores relating to the number of mismatches in the A,B, and DR HLA loci for the complete cohort. However, these correlations do not explain the association with post-transplantation graft function because when the HLA loci (A/B/DR/DQ/DP/C) are excluded from the sites included in the calculation of the allogenomics mismatch score, a significant correlation is still observed with serum creatinine level (FIG. 7C) and eGFR (FIG. 7D) at 36 months post transplantation.

FIG. 8A-8C illustrates how well the allogenomics mismatch score could be evaluated with the genotyping array technology frequently used in GWAS studies. Analysis are done on the Validation cohort (n=24 pairs, 48 exomes). FIG. 8A is a schematic diagram illustrating that evaluation of the allogenomics mismatch score with the Agilent Haloplex exome platform takes advantage of 17,025 genomic sites to estimate allogenomic contributions in transmembrane proteins. Only sites where an allogenomics mismatch score contribution was different from zero are counted. The exome genomic sites were filtered to exclude sites not found on the Illumina 660W genotyping platform (used in Franklin et al., A genome-wide association study of kidney transplant survival: Donors recipients and interactions. In: American Conference of Human Genetics. 2012. Available from the website at www.ashg.org/2012meeting/abstracts/fulltext/f120120818.htm). After filtering, the allogenomics score is estimated with 1,797 remaining genomic sites. FIG. 8B shows histograms graphically illustrating the minor allele frequency (MAF) of the alleles described at each set of genomic site (MAF is estimated from the EVP database, see Example 5). Exome sequencing is an assay that directly observes variations in an individual DNA sample. The MAF distributions confirm that exome sequencing helps estimate contributions from many rare (MAF<5%) polymorphisms, whereas the chip genotyping platform estimates the score from contributions from frequent alleles. FIG. 8C graphically illustrates the correlation obtained with the score estimated from the exome sites and the subset of sites also measured by the GWAS platform. While some trend is still visible with sites measured on the GWAS platform, more samples would be needed to reach significance in the combined Discovery and Validation cohorts (n=34 pairs). Note that the magnitude of the scores is smaller on the GWAS platforms because fewer contributions are summed. In contrast, the exome assays (Illumina TrueSeq for the Discovery cohort or Agilent Haloplex for the Validation cohort) result in stronger and significant correlation on the same set of samples.

FIG. 9A-9B are diagrams illustrating features of exemplary systems for performing the methods described herein. FIG. 9A is a diagram of a system that can perform the methods described herein. FIG. 9B is a block diagram of a machine in the example form of a computer system.

DETAILED DESCRIPTION

The applicants here present a new method to estimate the genomic incompatibility between the organ graft recipient and potential donors. This method is referred to as allogenomics. The allogenomics method predicts kidney graft function three years or longer after transplantation by using data on the genomic dissimilarity of donors and recipients that is available before the transplantation. The strength of the correlation increases with the time after transplantation. As described and tested in the Examples, the inventors have shown for the first time it is possible to predict renal graft function at three years or longer post-transplant by using genomic data available before the transplant surgery is performed. The method therefore has a direct application to help match potential donor organs to patients in need of organ transplantation in order to maximize transplant outcome for the patients.

A few factors have been established as predictors of post-transplant renal graft function. These factors include the organ donor type, either from a living donor or from a deceased donor and the cold ischemia time (the time the harvested organ is preserved prior to transplantation). Blood group compatibility is a prerequisite unless pre-conditioning of the recipient is undertaken to facilitate blood group incompatible kidney transplantation. While HLA compatibility is a necessary requirement for successful bone marrow transplants, full HLA compatibility is not an absolute prerequisite for tissue transplant function. In view of better patient survival following transplantation compared to dialysis, kidney transplants are routinely performed with varying degrees of HLA-mismatches including HLA mismatches for all HLA-class I and II antigens. Although, graft outcome is better with better HLA-matching, excellent long-term graft outcome with stable graft function have been observed when HLA mismatches occur. Loci other than HLA compatibility may influence the long-term clinical outcome of kidney allografts.

The allogenomics method relates to quantification of potential immune responses in the transplant recipient by considering the potential origin of the immune response: the immune system of the recipient mounts against the donor organ. Alleles present in the donor genome, but not in the recipient genome, have a potential to produce epitopes that the recipient genome would recognize as non-self. Thus the focus of the current methods is on what new epitopes a donor organ may present to a recipient, rather than on what are the total of recipient and donor differences. This explains why the allogenomics score is not equivalent to the genetic measures of allele sharing distance, which have been used for instance, to perform genetic clustering of individuals (Suthanthiran et al., N Engl J Med. 369(1):20-31 (2013)).

The allogenomics method involves evaluation of the number of amino acid differences encoded by the donor genome that the recipient immune system could recognize as non-self and the recognition that such differences contribute to immune events such as acute or chronic rejection and graft function. FIG. 1 is a schematic illustration of the allogenomics method. A greater number of genomic mismatches in a donor relative to a recipient indicates that an organ from that donor will have a greater potential for rejection than an organ from a donor with a lower number of mismatches. A low allogenomics mismatch score correlates with better acceptance and function of a donor transplant over time.

Because human autosomes have two copies of each gene, two possible alleles are considered for the donor and recipient genomes. An allogenomics score estimates contributions between zero and two, depending on the number of different amino acids that the donor genome encodes for at a given protein position. For example, Table 1 shows the possible allogenomics score contributions when the amino acids in question are either an Alanine or a Phenylalanine or an Aspartate amino acid. The allogenomics mismatch score is the sum of all amino acid mismatch contributions between the recipient and the donor that can be recognized as non-self by the recipient (see Equations 1 and 2).

TABLE 1 Examples of donor/recipient amino-acid mismatches at one protein position, and resulting allogenomic score contributions. Number of amino acids recipients sees as non- self, and the Donor Recipient corresponding amino- amino- allogenomic score acids acids contribution {Ala, Phe} {Ala, Phe} 0 {Ala} {Phe} 1 {Phe} {Ala, Phe} 0 {Ala, Phe} {Asp} 2

The allogenomics mismatch score Δ(r,d) is estimated for a recipient r and donor d as a sum of score mismatch contributions as shown in Equation 1.

$\begin{matrix} {{\Delta \left( {r,d} \right)} = {\sum\limits_{p \in P}\; {\delta_{p}\left\lbrack {{G_{rp} = {{genotype}\left( {r,p} \right)}},{G_{dp} = {{genotype}\left( {d,p} \right)}}} \right\rbrack}}} & {{Equation}\mspace{14mu} 1} \end{matrix}$

where:

-   -   δ_(p) is defined in Equation 2;     -   P is a set of all genomic positions of interest;     -   p is a polymorphic site in a set P;     -   G_(rp) is the genotype of the recipient r at genomic         site/position p; and     -   G_(dp) is the genotype of the donor d at site p.

The individual score mismatch contributions δ_(p)(G_(rp),G_(dp)) can be calculated at a polymorphic site of interest as shown in Equation 2.

$\begin{matrix} {{\delta_{p}\left( {G_{rp},G_{dp}} \right)} = {\sum\limits_{a \in G_{dp}}\; \left\{ \begin{matrix} 0 & {{{if}\mspace{14mu} a} \in G_{r,p}} \\ 1 & {otherwise} \end{matrix} \right.}} & {{Equation}\mspace{14mu} 2} \end{matrix}$

where

-   -   a is an allele;     -   P is a set of all genomic positions of interest;     -   p is a polymorphic site in a set P;     -   G_(rp) is the genotype of the recipient r at genomic         site/position p; and     -   G_(dp) is the genotype of the donor d at site p.

Contributions are observed for each polymorphic site p in a set P, where P is determined by the genotyping assay and analysis methods, and can be further restricted (e.g., to polymorphisms within genes that code for membrane proteins). Score mismatch contributions δ_(p)(G_(rp),G_(dp)) are calculated using the recipient genotype G_(rp) and the donor genotype G_(dp) at the polymorphic site p. A genotype can be represented as a set of alleles that were assayed in a given genome. For instance, if a subject has two alleles at one polymorphic site, that are denoted allele A or B, the genotype at p is represented by the set {A,B}. This representation is general and sufficient to process polymorphic sites with single nucleotide polymorphisms or insertion/deletions.

Table 2 presents examples of donor and recipient genotypes and indicates the resulting score contribution (the subscript p is omitted for conciseness). Score contributions are summed across all polymorphism sites in the set P to yield the allogenomic mismatch score (see Equation 1).

TABLE 2 Examples of donor/recipient mismatches allogenomic score contribution Gd = {A, B} Gr = {A, B} (Gr, Gd) = 0 Gd = {A} Gr = {B} (Gr, Gd) = 1 Gd = {B} Gr = {A, B} (Gr, Gd) = 0 Gd = {A, B} Gr = {C} (Gr, Gd) = 2

A strong correlation exists between the allogenomics score estimated with the approach and graft function measured with eGFR or creatinine levels (e.g., shown in FIGS. 2-8 and described in the Examples). This correlation would be sufficient for the allogenomics mismatch score to be used for predicting optimal pairs of donor/recipients for transplantation. The method and this correlation are the basis of our invention to improve the matching of donor and recipients to maximize transplant clinical outcome years post-transplantation.

A threshold allogenomics mismatch score can be used to distinguish an acceptable donor organ from an unacceptable donor organ for a selected recipient. In some instances the threshold allogenomics mismatch score identifies transplant recipients who would benefit from treatment, or who may develop the need for treatment. Such a threshold can be developed using raw allogenomics mismatch scores, or on at set of normalized allogenomics mismatch scores. Normalization removes the impact of reduced set of genomic sites. The range of the score depends on the specific assay used, so normalization is preferably used if a different set of polymorphic sites is assayed. For example, if 6000 sites are typically assayed for mismatches, a raw threshold value based upon an “acceptable” number of mismatches with 6000 sites would likely be different from an “acceptable” number of mismatches within a smaller number of assayed sites (e.g., 4000 sites) or within a larger number of assayed sites (e.g., 8000 sites). Hence, normalization can be used when using a raw threshold score is based on assays of different numbers of site.

A more objective and precise decision threshold can be identified by measuring the allogenomics mismatch score for a number of donor-recipient pairs (e.g., more than 100, or more than 200, or more than 300), and fitting a linear model with the scores to predict eGFR at a selected time such as at four years post-translation. For example, such a threshold can be obtained as the value of the allogenomics mismatch score that would yield a four year eGRF of 40 ml/min/1.73 m. This procedure would yield a threshold of 1400 according to the methods described herein and by using the data in FIG. 4H. Such analysis can also be performed on other graft survival time periods, for example graft survival for ten years. When organ selection and matching is performed using HLA, 40-50% of patients have lost the graft at 10 years. A good threshold allogenomics mismatch score would, for example, be below or equal to a mean or median allogenomics mismatch score obtained for 80% of subjects who still have a functioning graft (eGRF>20 ml/min/1.73 m). Eighty percent graft retention at 10 years post-translation would be a significant improvement over the 50% to 60% graft retention observed when the graft was selected using HLA matching.

It is also possible to estimate a model of the rate of eGFR change per year. This can be done by fitting a linear model using the allogenomics mismatch score and considering how much the score has decreased between two time points (e.g., change between year 4 and year 1 would provide data to calculate the rate of change: (eGFR_1y−eGFR_4y)/4, or rate of change per year following transplantation. The rate of change can be used to estimate how many years the graft will survive post-transplantation in a given patient, knowing that patients require dialysis when eGFR<15 ml/min/1.73 m.

An allogenomics mismatch score of less than about 1600 identifies a donor organ that will likely function well for 3 or more years. For example, allogenomics mismatch scores of less than about 1500, or less than about 1450, or less than about 1400, or less than 1350, or less than about 1300, or less than about 1250, or less than about 1200, or less than about 1100 identifies a donor organ that will likely function well for 3 or more years.

A variety of methods can be used to identify the differences between donors and recipients. For example, the allogenomics method can involve sequencing coding sequences (the exome) of the genomes of both the donor and measuring genomic differences. Although HLA loci can be included in the sites that are assayed for mismatches between donor and recipient, it is not necessary to include HLA in the loci assayed. Sites remote from the classical HLA loci can be assayed and will yield reliable allogenomics mismatch scores that identify whether or not a donor organ is acceptable for a recipient.

The allogenomics method makes it possible to generate a quantitative compatibility score between the genomes of a recipient and potential donor that is calculated from the genotypes and genome annotations available before transplantation. The allogenomics approach does not assume a Mendelian inheritance model but integrates the unique features of transplantation such as the existence of two genomes in a single individual and the recipient's immune system mounting an immune response directed at antigens displayed by the donor kidney.

These new methods can predict long-term transplant function from the genomic information available prior to transplantation, allowing improved selection of donor organs that are optimally compatible with the recipient. Although, the experimental data shown in the Examples relates to kidney grafts, the method relates to identifying immunological differences in a donor compared to a recipient. Hence, the method is applicable to a variety of donor organs for transplantation into recipients who may have need therefor. For example, the donor organ can be a kidney, a heart, a liver, a lung, a bladder, an intestine, a trachea, an esophagus, a pancreas, a stomach, a thymus, an ovary, a cervix, a uterus, a vagina, a penis, a prostate, a testes, or any combination or part thereof. Tissues from donors can also be evaluated to identify a match for transplantation into a recipient. For example, donor tissues such as vascular tissues, neuronal tissues, muscular tissues, adipose tissues, pancreatic islet tissues, bone tissues, bone marrow, skin, dermal tissues, stem cells, connective tissues, or a combination thereof can be evaluated and compared to potential recipients using the methods described herein. A threshold value for identifying an acceptable donor—recipient match, or for identifying a problem with an existing transplant organ can readily be established by correlating functional characteristics of the organ type with allogenomics mismatch scores, in a manner similar to the correlations shown herein in the Examples and Figures.

Preparation of DNA for Sequencing

Genomic DNA is isolated from tissue or bodily fluid samples obtained from the donor(s) and recipient(s) using available methods to separate DNA from other cellular components such as proteins, lipids, RNA, and carbohydrates. The procedure can involve tissue/sample disruption, lysis of cells, removal of proteins and other contaminants, and recovery of DNA. Nuclease inhibitors are generally employed such as protein denaturing agents, proteinases (e.g., proteinase K), detergents, and cation chelators can be used to prevent enzymatic digestion of the DNA. In some instances, the tissue/fluid samples are heated to disrupt proteins but DNA purification can also be performed in temperatures below 45° C. to prevent the denaturation of short, AT-rich, fragments. Denaturation of dsDNA fragments in a complex mixture can result in single stranded DNA fragments that may not anneal back to its complement. Increased temperatures during isolation can decrease the efficiency of the procedure before ligation, because the ssDNA fragments cannot be ligated to double-stranded adaptors efficiently.

The genomic DNA can be fragmented to generate double-stranded DNA fragments of a convenient size for amplification and sequencing. For example, the genomic DNA can be sheared to a fragment size of about 125 bp to about 300 bp, or about 150 bp to about 250 bp. Fragmentation can be achieved by mechanical processes (e.g., physically shearing the DNA using sonication), or by enzymatic cleavage. Enzymatic cleavage can involve use of a dsDNA-specific nuclease such as shrimp nuclease and/or DFF40 nuclease, which generates DNA with blunt ends, so they do not need repairing or a fill-in step. Mechanical and many other types of nucleases or enzymes can create single-stranded extensions that can be blunted by the action of T4 polymerase and exonuclease. Single-stranded extensions can be more prone to the oxidative damage than dsDNA. Although such oxidative damage can only occasionally damage some of the bases in the single-stranded extension, in changes the template that T4 polymerase uses for generating double-stranded, blunt ends can occur. T4 polymerase encounters a damaged base in the template and introduces its partner—a complementary base. The damage may change the pattern of the preferred hydrogen bonds, which may result in the stabilization of interactions with an incorrect nucleotide in the complementary position. After blunt-ending and ligation of Y-adapters, this error can be amplified during PCR, and may result in a false mutation call. Hence, using nucleases that provide blunt DNA ends during fragmentation can obviate this problem. Small products of less than about 125 bp or less than about 75 bp can be removed using available size fractionation methods.

The ends of the double-stranded DNA fragments can be tailed to generate a short single-stranded region to which adaptors or linkers can be ligated. The adaptors or linkers allow capture of the DNA fragments and separation from impurities and fragments that were not properly processed. The adaptors/linkers also allow each fragment to be hybridized to a solid surface (e.g., within a reaction chamber or flowcell), where subsequent processing can occur. For example, the adaptors/linkers can provide primer hybridization sites for DNA amplification or sequencing.

The DNA fragment pool from a specific donor or recipient is thus a library of DNA fragments that are unique to that individual donor or recipient.

DNA Amplification and Sequencing

The different libraries of genomic DNA fragments can be amplified if desired to provide a larger sample for evaluation. However, the libraries are generally subjected to minimal PCR cycling. The amount of amplification can be quantified. Libraries can be combined into pools that contain small numbers of either donor or recipient libraries. Such pooling can reduce the number of samples that are sequenced. When a pool contains a library of interest (e.g., from a donor or recipient of interest), the individual libraries in the pool can be further evaluated, for example, to ascertain which donor best matched with a particular recipient.

Sequencing can be performed using any available procedures. For example, a pool of primers that specifically recognize all the various exons of interest can be employed. Thus, specific primer pools can be employed for sequencing essentially all exons, or for sequencing only some exons that are of particular interest. In some cases, the primer pool can include primers for sequencing all human exons. However, in other cases, the primer pool can include primers for sequencing only selected classes or types of exons.

For example, the primer pool can include primers for sequencing all human exons except those that specifically bind to and would facilitate sequencing of HLA exons. As shown herein, when HLA primers are eliminated from the primer pool, the method still identifies excellent long-term graft outcome with stable graft function. The success of these transplants shows that loci other than the HLA loci influence the long-term clinical outcome of kidney allografts.

Table 5 provides a list of some genes that can be evaluated in the methods described herein. These genes have the names defined by the HUGO Gene Nomenclature Committee (see website at www.genenames.org/). Sequences for these genes are also available through links provided by the www.genenames.org website. A portion or all of the genes listed in Table 5 can be assayed to determine the number of amino acid differences encoded by the donor genome that the recipient immune system could recognize as non-self.

In another example, the primer pool can include primers for sequencing exons encoding membrane proteins. Such proteins are likely to be more immunologically visible than intracellular proteins. Hence, membrane proteins are a class of proteins that may influence whether or not a donor transplant is recognized as having foreign antigens or as having ‘self’ antigens.

Sequencing can be performed using any convenient procedure. For example, automated sequencing devices and procedures can be employed. The nucleic acid sequencer can be configured to analyze (e.g., interrogate) a nucleic acid fragment utilizing all available varieties of techniques, platforms, or technologies to obtain nucleic acid sequence information. For example, the sequencer can perform sequencing by synthesis of DNA from primers that selectively bind to selected DNA sequences. The sequencer can also perform sequencing by fragmenting the DNA in the library that is being sequenced and then determining the molecular weight and sequence by physical measurement (e.g., mass spectroscopy). In general automated sequencers are preferred.

The sequencer can also perform sequencing, and be integrated with components that store the sequencing information, and assemble sequencing information into complete sequences for the individual exons. For example, the nucleic acid sequencer can be in communications with the sample sequence data storage either directly via a data cable (e.g., a serial cable, a direct cable connection, etc.) or bus linkage or, alternatively, through a network connection (e.g., Internet, LAN, WAN, VPN, etc.). In various embodiments, the network connection can be a “hardwired” physical connection. For example, the nucleic acid sequencer can be communicatively connected (via Category 5 (CATS), fiber optic, or equivalent cabling) to a data server that can be communicatively connected (via CATS, fiber optic, or equivalent cabling) through the internet and to the sample sequence data storage. The network connection can be a wireless network connection (e.g., Wi-Fi, WLAN, etc.), for example, utilizing an 802.11b/g or equivalent transmission format. In practice, the network connection utilized is dependent upon the particular requirements of the system. In some cases, the sample sequence data storage can be an integrated part of the nucleic acid sequencer.

In the Examples described herein, samples were processed through flow cells such as those provided by the Illumina HiSeq2000 platform.

Alternative Genotyping Methods.

The allogenomics mismatch score is based on the number of epitopes encoded by the donor genome that the recipient's immune system could recognize as non-self. The method is illustrated in FIG. 1. Hence, the allogenomics method is not limited to using exome assays or DNA sequencing methods, because other approaches can be used to determine genotypes in the recipient and donor genomes that would be sufficient to use as input to the method. Alternative methods of genotyping calling can be used with the invention, and relate to the type of genotyping assay employed. There is no strong requirement placed on the analysis methods other than the ability to call genotypes accurately with data produced by the genotyping assay.

The allogenomics mismatch score can be optimized by defining a subset of polymorphisms that has the largest predictive ability for graft function and/or graft loss. The methods described herein can facilitate analysis of large datasets of genotypes from matched donor and recipient transplants. Sites with genotypes that associate the most with the clinical endpoint of interest can be evaluated using procedures described herein such as those used for evaluating the effect of HLA loci on the allogenomics mismatch score.

Various approaches are available to make this selection when a suitable dataset of genotype has been collected and matching clinical information is available. A simple approach consists in comparing the allogenomics mismatch score contributions summed over all polymorphisms of a gene in groups of matched transplants with extreme phenotype. For instance, comparing the score contributions between groups of transplants with high graft function at three years to transplants with poor graft function at three years will produce sets of genes that contain polymorphisms most predictive of graft function. It is likely that different subsets of polymorphisms will be obtained in this way to predict clinical outcome optimally for different types of graft. These subsets derive directly from this invention and the availability of matched genotype datasets for donor and recipient individuals.

Alternative methods for genotyping are also compatible with the methods described herein. For instance, hybridization of DNA to microarrays, hybridization to or beads, sequencing, primer extension, microarray sequence analysis, SNP analysis, polymerase chain reaction, or a combination thereof. Other methods that can recognize and/or identify a large number of polymorphisms present in the human population would also be suitable as a genotyping assay to use with this approach. Whole genome sequencing is a suitable approach that makes it possible to determine the genotypes of the donor and recipients genomes.

Allogenomics System

An allogenomics apparatus is described herein for performing methods for evaluating with which donor tissues are acceptable for transplantation into a recipient. The apparatus includes a series of components for:

(a) assaying the number of amino acid differences encoded by one or more donor genome that at least one recipient immune system could recognize as non-self;

(b) summing of amino acid mismatches assayed (and detected) in the donor(s) relative to each selected recipient, where the mismatches can be recognized as non-self by the recipient;

(c) determining an allogenomics mismatch score Δ(r,d) for at least one recipient r and one or more donor d, where the allogenomics mismatch score Δ(r,d) is a sum of mismatches as shown in Equation 1:

$\begin{matrix} {{\Delta \left( {r,d} \right)} = {\sum\limits_{p \in P}\; {\delta_{p}\left\lbrack {{G_{rp} = {{genotype}\left( {r,p} \right)}},{G_{dp} = {{genotype}\left( {d,p} \right)}}} \right\rbrack}}} & {{Equation}\mspace{14mu} 1} \end{matrix}$

where:

-   -   δ_(p) is defined in Equation 2;     -   P is a set of all genomic positions of interest;     -   p is a polymorphic site in a set P;     -   G_(rp) is the genotype of the recipient rat genomic         site/position p; G_(dp) is the genotype of the donor d at site         p; and

(d) determining whether a match exists among one or more potential organ donors for a recipient in need of a transplanted organ by identifying one or more donors with low allogenomics mismatch score(s).

The individual score mismatch contributions can be calculated at a polymorphic site of interest as shown in Equation 2.

$\begin{matrix} {{\delta_{p}\left( {G_{rp},G_{dp}} \right)} = {\sum\limits_{a \in G_{dp}}\; \left\{ \begin{matrix} 0 & {{{if}\mspace{14mu} a} \in G_{r,p}} \\ 1 & {otherwise} \end{matrix} \right.}} & {{Equation}\mspace{14mu} 2} \end{matrix}$

where

-   -   a is an allele;     -   P is a set of all genomic positions of interest;     -   p is a polymorphic site in a set P;     -   G_(rp) is the genotype of the recipient r at genomic         site/position p; and     -   G_(dp) is the genotype of the donor d at site p.

A contribution of 1 is therefore added to the score for each polymorphic site where the donor genome has an allele (a_(dp)) that is not also present in the recipient genome. When both donor and recipient genome are assayed to be the same at polymorphic site P, no contribution is added. If the recipient has a difference that is not present in the donor at site P, the donor would contribute no added immunological feature to the recipient, so no contribution is added to the mismatch score. Another example is where the donor genome has two alleles, i.e., G_(dp)={A,B}, at a particular genomic site and the recipient genome is homozygote with G_(rp)={A} at that site. In this case, (G_(rp),G_(dp))=1, because the donor has a polymorphism or a mismatch that is not present in the recipient.

The component that assays the number of amino acid differences encoded by the donor genome that the recipient immune system could recognize as non-self can include one or more sequencers, microarrays, mass spectrometer, or other apparatuses that can detect a large number of polymorphisms. The component that assays the number of amino acid differences encoded by the donor genome that the recipient immune system could recognize as non-self can include a data storage unit or be operably linked to a data storage unit that stores number of amino acid differences encoded by the donor genome that the recipient immune system could recognize as non-self. For example, the data storage unit can store the exome and/or selected exon sequences assayed by a sequencer where the sequences are identified as being from the donor or the recipient.

The component that assays the number of amino acid differences encoded by the donor genome that the recipient immune system could recognize as non-self can also include a sequence data assembly unit that assembles the sequence data so that, for example, fragmented sequence data for an exon is assembled into a complete exon sequence. Such an assembly unit may not be needed because the method focuses on recognizing differences at polymorphic sites and sequence fragments accomplish this task without the need for assembly of the entire sequence of a gene, or an entire exon, that includes such a polymorphism.

The component that sums amino acid mismatches (between the recipient and the donor that can be recognized as non-self by the recipient) can be a processor. The processor can receive data from a data storage unit that is either part of the processor, part of the component that assays the number of amino acid differences encoded by the donor genome (relative to the recipient), or that is operably linked to both of these two components.

The component that sums the individual score mismatch contributions assayed at a polymorphic site of interest can utilize Equation 2 to do so.

$\begin{matrix} {{\delta_{p}\left( {G_{rp},G_{dp}} \right)} = {\sum\limits_{a \in G_{dp}}\; \left\{ \begin{matrix} 0 & {{{if}\mspace{14mu} a} \in G_{r,p}} \\ 1 & {otherwise} \end{matrix} \right.}} & {{Equation}\mspace{14mu} 2} \end{matrix}$

where

-   -   a is an allele;     -   P is a set of all genomic positions of interest;     -   p is a polymorphic site in a set P;     -   G_(rp) is the genotype of the recipient r at genomic         site/position p; and     -   G_(dp) is the genotype of the donor d at site p.

The processor can determine an allogenomics mismatch score Δ(r,d) for a recipient r and donor d, which is a sum of mismatches as shown in Equation 1.

$\begin{matrix} {{\Delta \left( {r,d} \right)} = {\sum\limits_{p \in P}\; {\delta_{p}\left\lbrack {{G_{rp} = {{genotype}\left( {r,p} \right)}},{G_{dp} = {{genotype}\left( {d,p} \right)}}} \right\rbrack}}} & {{Equation}\mspace{14mu} 1} \end{matrix}$

where:

-   -   δ_(p) is defined in Equation 2;     -   P is a set of all genomic positions of interest;     -   p is a polymorphic site in a set P;     -   G_(rp) is the genotype of the recipient r at genomic         site/position p; and     -   G_(dp) is the genotype of the donor d at site p.

The functions or algorithms described herein may be implemented in software or a combination of software and human implemented procedures, for example. The software may consist of computer executable instructions stored on computer readable media such as memory or other type of storage devices. Further, such functions correspond to modules, which are software, hardware, firmware or any combination thereof. Multiple functions may be performed in one or more modules as desired, and the embodiments described are merely examples. The software may be executed on a digital signal processor, ASIC, microprocessor, or other type of processor operating on a computer system, such as a personal computer, server or other computer system. For example, multiple such computer systems can be utilized in a distributed network to implement multiple analyses, draw upon information from distributed sources, or facilitate transaction based usage. An object-oriented, service-oriented, or other architecture may be used to implement such functions and communicate between the multiple systems and components.

The processor or computer can operate in a networked environment using a communication connection to connect to one or more remote computers, such as database servers. The remote computer may include a personal computer (PC), server, router, network PC, a peer device or other common network node, or the like. The communication connection may include a Local Area Network (LAN), a Wide Area Network (WAN) or other networks.

Datasets of information can be in different forms and from different sources. For example, datasets can be stored and updated in the form of computer-accessible storage. Computer-accessible storage includes random access memory (RAM), read only memory (ROM), erasable programmable read-only memory (EPROM) & electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD ROM), Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium capable of storing computer-readable instructions.

Computer-readable instructions (e.g., for summing up differences between donors and recipients at various polymorphic sites and/or for determining an allogenomics mismatch score) can be stored on a computer-readable medium and can be executable by a processing unit of the computer. A hard drive, CD-ROM, and RAM are some examples of articles including a non-transitory computer-readable medium. For example, a computer program linked to, or including, the instructions for determining an allogenomics mismatch score can be capable of providing a generic technique to perform an access control check for data access and/or for doing an operation on one of the servers in a component object model (COM) based system, or can be included on a CD-ROM and loaded from the CD-ROM to a hard drive. The computer-readable instructions allow computer to provide generic access controls in a COM based computer network system having multiple users and servers.

A system bus can be any of several types of bus structures including a memory bus or memory controller, a peripheral bus, and a local bus using any of a variety of bus architectures. The system memory can also be referred to as simply the memory, and, in some embodiments, includes read-only memory (ROM) and random-access memory (RAM). A basic input/output system (BIOS) program, containing the basic routines that help to transfer information between elements within the computer, such as during start-up, may be stored in ROM. A computer that includes the allogenomics process can further include a hard disk drive for reading from and writing to a hard disk, a magnetic disk drive for reading from or writing to a removable magnetic disk, and an optical disk drive for reading from or writing to a removable optical disk such as a CD ROM or other optical media.

Such a hard disk drive, magnetic disk drive, and optical disk drive can couple with a hard disk drive interface, a magnetic disk drive interface, and an optical disk drive interface, respectively. The drives and their associated computer-readable media provide non-volatile storage of computer-readable instructions, data structures, program modules and other data for the computer. It should be appreciated by those skilled in the art that any type of computer-readable media which can store data that is accessible by a computer, such as magnetic cassettes, flash memory cards, digital video disks, Bernoulli cartridges, random access memories (RAMs), read only memories (ROMs), redundant arrays of independent disks (e.g., RAID storage devices) and the like, can be used in the exemplary operating environment.

A plurality of program modules can be stored on the hard disk, magnetic disk, optical disk, ROM, or RAM, including an operating system, one or more application programs, other program modules, and program data. Programming for implementing one or more processes or method described herein may be resident on any one or number of these computer-readable media.

A user may enter commands and information into computer through input devices such as a keyboard and pointing device. Other input devices (not shown) can include a microphone, touch screen, joystick, game pad, satellite dish, scanner, or the like. These other input devices are often connected to the processing unit through a serial port interface that is coupled to the system bus, but can be connected by other interfaces, such as a parallel port, game port, or a universal serial bus (USB). A monitor or other type of display device can also be connected to the system bus via an interface, such as a video adapter. The monitor can display a graphical user interface for the user, and may include a touchscreen, allowing user interactions to select functions and enter data. In addition to a monitor, computers typically include other peripheral output devices, such as speakers and printers.

The computer may operate in a networked environment using logical connections to one or more remote computers or servers, such as remote computer. These logical connections are achieved by a communication device coupled to or a part of the computer; the invention is not limited to a particular type of communications device. Such a remote computer can be another computer, a server, a router, a network PC, a client, a peer device or other common network node, and typically includes many or all of the elements described above relative to the computer. The logical connections include a local area network (LAN) and/or a wide area network (WAN). Such networking environments are commonplace in office networks, enterprise-wide computer networks, intranets and the internet, which are all types of networks.

When used in a LAN-networking environment, the computer can be connected to the LAN through a network interface or adapter, which is one type of communications device. In some embodiments, when used in a WAN-networking environment, the computer typically includes a modem (another type of communications device) or any other type of communications device, e.g., a wireless transceiver, for establishing communications over the wide-area network, such as the internet. Such a modem, which may be internal or external, is connected to the system bus via the serial port interface. In a networked environment, program modules depicted relative to the computer can be stored in the remote memory storage device of remote computer, or server. It is appreciated that the network connections described are exemplary and other means of, and communications devices for, establishing a communications link between the computers may be used including hybrid fiber-coax connections, T1-T3 lines, DSL's, OC-3 and/or OC-12, TCP/IP, microwave, wireless application protocol, and any other electronic media through any suitable switches, routers, outlets and power lines, as the same are known and understood by one of ordinary skill in the art.

Example embodiments may therefore be implemented in digital electronic circuitry, or in computer hardware, firmware, software, or in combinations of them. Example embodiments may be implemented using a computer program product, for example, a computer program tangibly embodied in an information carrier, for example, in a machine-readable medium for execution by, or to control the operation of, data processing apparatus, for example, a programmable processor, a computer, or multiple computers.

A computer program can be written in any form of programming language, including compiled or interpreted languages, and it can be deployed in any form, including as a stand-alone program or as a module, subroutine, or other unit suitable for use in a computing environment. A computer program can be deployed to be executed on one computer or on multiple computers at one site or distributed across multiple sites and interconnected by a communication network.

In example embodiments, operations may be performed by one or more programmable processors executing a computer program to perform functions by operating on input data and generating output. Method operations can also be performed by, and apparatus of example embodiments may be implemented as, special purpose logic circuitry (e.g., a FPGA or an ASIC).

The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. In embodiments deploying a programmable computing system, it will be appreciated that both hardware and software architectures merit consideration. Specifically, it will be appreciated that the choice of whether to implement certain functionality in permanently configured hardware (e.g., an ASIC), in temporarily configured hardware (e.g., a combination of software and a programmable processor), or a combination of permanently and temporarily configured hardware may be a design choice. Below are set out hardware (e.g., machine) and software architectures that may be deployed, in various example embodiments.

An example of an apparatus (100) is shown in FIG. 9A, that includes at least one assayer component (120) for assaying the number of amino acid differences (mismatches) encoded by one or more donor genome that at least one recipient immune system could recognize as non-self. The apparatus can also include a component for summing of amino acid differences (mismatches) between the recipient(s) and the donor(s) that can be recognized as non-self by the recipient (150) by comparing a donor dataset (130) and a recipient dataset (140) and summing the differences. The apparatus can also include a component for determining an allogenomics mismatch score Δ(r,d) for at least one recipient r and one or more donor d (160).

Example Processing Machine Architecture and Machine-Readable Medium

FIG. 15 is a block diagram of machine in the example form of a computer system 1100 within which there may be executed instructions 1124 for causing the machine to perform any one or more of the methodologies discussed herein. In alternative embodiments, the machine operates as a standalone device or may be connected (e.g., networked) to other machines. In a networked deployment, the machine may operate in the capacity of a server or a client machine in server-client network environment, or as a peer machine in a peer-to-peer (or distributed) network environment. The machine may be a personal computer (PC), a tablet PC, a set-top box (STB), a PDA, a cellular telephone, a web appliance, a network router, switch or bridge, or any machine capable of executing instructions (sequential or otherwise) that specify actions to be taken by that machine. Further, while only a single machine is illustrated, the term “machine” shall also be taken to include any collection of machines that individually or jointly execute a set (or multiple sets) of instructions to perform any one or more of the methodologies discussed herein.

The example computer system 1100 includes a processor 1102 (e.g., a central processing unit (CPU), a graphics processing unit (GPU) or both), a main memory 1104 and a static memory 1106, which communicate with each other via a bus 1108. The computer system 1100 may further include a video display unit 1110 (e.g., a liquid crystal display (LCD) or a cathode ray tube (CRT)). The computer system 1100 also includes an alphanumeric input device 1112 (e.g., a keyboard), a cursor control device 1114 (e.g., user interface (UI) navigation device or computer mouse), a disk drive unit 1116, a signal generation device 1118 (e.g., a speaker) and a network interface device 1120.

Machine Readable Medium

The disk drive unit 1116 includes a machine-readable medium 1122 on which is stored one or more sets of data structures and instructions 1124 (e.g., software) embodying or used by any one or more of the methodologies or functions described herein. The instructions 1124 may also reside, completely or at least partially, within the main memory 1104, static memory 1106, and/or within the processor 1102 during execution thereof by the computer system 1100, the main memory 1104 and the processor 1102 also constituting machine-readable media.

While the machine-readable medium 1122 is shown in an example embodiment to be a single medium, the term “machine-readable medium” may include a single medium or multiple media (e.g., a centralized or distributed database, and/or associated caches and servers) that store the one or more instructions 1124 or data structures. The term “machine-readable medium” shall also be taken to include any tangible medium that is capable of storing, encoding or carrying instructions for execution by the machine and that cause the machine to perform any one or more of the methodologies of the embodiments of the present invention, or that is capable of storing, encoding or carrying data structures used by or associated with such instructions. The term “machine-readable medium” shall accordingly be taken to include, but not be limited to, solid-state memories, and optical and magnetic media. Specific examples of machine-readable media include non-volatile memory, including by way of example, semiconductor memory devices (e.g., Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM)) and flash memory devices; magnetic disks such as internal hard disks and removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks. A “machine-readable storage medium” shall also include devices that may be interpreted as transitory, such as register memory, processor cache, and RAM, among others. The definitions provided herein of machine-readable medium and machine-readable storage medium are applicable even if the machine-readable medium is further characterized as being “non-transitory.” For example, any addition of “non-transitory,” such as non-transitory machine-readable storage medium, is intended to continue to encompass register memory, processor cache and RAM, among other memory devices.

Transmission Medium

The instructions 1124 may further be transmitted or received over a communications network 1126 using a transmission medium. The instructions 1124 may be transmitted using the network interface device 1120 and any one of a number of well-known transfer protocols (e.g., HTTP). Examples of communication networks include a LAN, a WAN, the Internet, mobile telephone networks, Plain Old Telephone (POTS) networks, and wireless data networks (e.g., Wi-Fi and WiMax networks). The term “transmission medium” shall be taken to include any intangible medium that is capable of storing, encoding or carrying instructions for execution by the machine, and includes digital or analog communications signals or other intangible media to facilitate communication of such software.

Treatment

The allogenomics method can also be employed to identify and optimize treatment of transplant recipients who may need, or who may develop a need for, treatment for rejection of a transplanted organ. For example, medical personnel can assess whether a patient may benefit from an immunosuppressive regimen by determining the allogenomics mismatch score of the recipient and the donor organ. When the allogenomics mismatch score is greater than a selected threshold, treatment of the transplant recipient can be initiated. For example, a threshold of greater than about 1600, or greater than about 1500, or greater than about 1450, or greater than about 1400, or greater than 1350, or greater than about 1300, or greater than about 1250, or greater than about 1200, or greater than about 1100 identifies a recipient with a donor organ who can benefit from treatment.

Such treatment can include immunosuppression drugs, or anti-rejection treatment. The higher the allogenomics mismatch score, the more aggressive the therapy can be at the outset. Hence, rather than waiting for kidney damage to indicate therapeutic intervention is needed, medical personnel can evaluate and predict the need for therapy before significant damage has occurred.

The transplant recipients can include any recipient of a transplanted organ. In some instances, the allogenomics mismatch score of the recipient/donor organ was not determined before transplantation of the donor organ. For example, in some instances the recipient received an HLA matched organ from a living or deceased donor.

The methods can include informing medical personnel or the patient about the test results. Information about whether the patient will have acute rejection can also be communicated. If the patient is likely to develop kidney dysfunction, the patient can be prescribed and/or administered a treatment to delay rejection of the transplanted organ.

The methods can further include treatment of kidney conditions such as kidney transplant rejection, acute cellular rejection (ACR), or antibody-mediated rejection (AMR). Such treatment can include increased or decreased dose of an anti-rejection agent or an anti-rejection agent can be added. Anti-rejection agents, include for example, azathioprine, cyclosporine, FK506, tacrolimus, mycophenolate mofetil, anti-CD25 antibody, antithymocyte globulin, rapamycin, ACE inhibitors, perillyl alcohol, anti-CTLA4 antibody, anti-CD40L antibody, anti-thrombin III, tissue plasminogen activator, antioxidants, anti-CD 154, anti-CD3 antibody, thymoglobin, OKT3, corticosteroid, or a combination thereof.

For example, if acute rejection is predicted, a steroid pulse therapy can be started and may include the administration for three to six days of a high dose corticosteroid (e.g., greater than 100 mg). An antibody can be added. An example of an antibody therapy includes the administration for seven to fourteen days of the polyclonal antibody Thymoglobin or the monoclonal antibody, OT3.

Another example of a treatment that can be administered is plasmapheresis. Plasmapheresis is a process in which the fluid part of the blood (i.e., plasma) is removed from blood cells. Typically, the plasma is removed by a device known as a cell separator. The cells are generally returned to the person undergoing treatment, while the plasma, which contains antibodies, is discarded.

The present description is further illustrated by the following examples, which should not be construed as limiting in any way. The contents of all cited references (including literature references, issued patents, published patent applications as cited throughout this application) are hereby expressly incorporated by reference.

Example 1 Predicting Post-Transplantation Graft Function with the Allogenomics Method

The inventors have developed and implemented a method that utilizes a computational tool to estimate the allogenomics mismatch score from genotypes derived for pairs of donor and recipient genomes. Example 1 describes some of the procedures in more detail and the software for implementation. The method is designed to consider the entire set of protein positions measured by a genotyping assay, or restrict the analysis to a subset of positions Pin the genome.

This Example describes analysis of DNA isolated from 24 kidney graft recipients and their donors, and whole exome sequencing. The exome data was analyzed for the 24 matched recipient and donor genomes (48 genomes measured with exome sequencing technology) using the allogenomics scoring tool.

Patient Cohorts and DNA Extraction.

DNA samples from 24 kidney graft recipients for whom donor DNA was available were selected based on the occurrence of a biopsy confirmed acute cellular rejection within the first 15 months post-transplantation (n=12 recipient/donor pairs) or without an episode of acute cellular rejection during the same time interval (n-12 recipient/donor combinations). These patients were a subset of patients enrolled in a multicenter Clinical Trial in Organ Transplantation-04 (CTOT-04) study of urinary cell mRNA profiling and from whom tissue/cells were collected for future mechanistic studies (Suthanthiran et al., N Engl J Med. 369(1):20-31 (2013 Jul. 4). The kidney allograft biopsies were classified using Banff classification schema (Mengel et al., Am J Transplant. 12(3):563-70 (2011). Clinical data were collected for the 24 matched donors of these recipients. Informed consent was obtained for all participants according to the respective IRBs of the CTOT-4 study centers. All recipients or living donors were at least 18 years old. DNA extraction from total blood was done using the EZ1 DNA blood kit (Qiagen®) based on the manufacturer recommendation.

Exome Sequencing.

In the pilot study that generated data for FIG. 2, DNA was enriched for exon regions with the TruSeq exome enrichment kit v3 and primary sequence data analyses were conducted with GobyWeb (Dorff et al., PLoS ONE. 2013; 8 (7):e69666 (2013)). Briefly, 1.8 μg of genomic DNA was sheared to average fragment size of 200 bp using the Covaris E220 (Covaris, Woburn, Mass., USA). Fragments were purified using AmpPureXP beads (Beckman Coulter, Brae, Calif., USA) to remove small products (<100 bp), yielding 1 μg of material that was end-polished, A-tailed and adapter ligated according to the manufacturer's protocol. Libraries were subjected to minimal PCR cycling and quantified using the Agilent High Sensitivity DNA assay (Agilent, Santa Clara, Calif., USA). Libraries were combined into pools of six for solution phase hybridization using the Illumina (IIlumina, San Diego, Calif., USA) TruSeq Exome Enrichment Kit. Captured libraries were assessed for both quality and yield using the Agilent High Sensitivity DNA assay Library Quantification Kit. Sequencing was performed with six samples per flow cell lane using the Illumina HiSeq2000 platform and version 2 sequencing-by-synthesis reagents to generate 100 bp single-end reads (1×100 SE).

Table 5 provides a list of some genes that can be evaluated in the methods described herein. These genes have the names defined by the HUGO Gene Nomenclature Committee (see website at www.genenames.org/). Sequences for these genes are also available through links provided by the www.genenames.org website. A portion or all of the genes listed in Table 5 can be assayed to determine the number of amino acid differences encoded by the donor genome that the recipient immune system could recognize as non-self.

General Exome Sequence Data Analysis.

Illumina Data Analysis Pipeline software (CASAVA 1.8.2) was used for the sample de-multiplexing step. Sequence data in FASTQ format were transformed to compact-reads format using the Goby framework (Campagne et al. PLoS One 8 (11):e79871 (2013)). Compact-reads were aligned to the current build of the human genome (hg19, released in February 2009) using the Burrows-Wheeler Aligner (BWA v 0.7.3 SW) with the GobyWeb software (Suthanthiran et al., N Engl J Med [Internet] 369(1):20-31 (2013)). Single nucleotide polymorphisms (SNPs) and genotypes involving small insertion/deletion polymorphisms (indels) were called using GobyWeb with the Goby sequence variation discovery mode and annotated using the Variant Effect Predictor (VEP version 73) from Ensembl. The data were written to an output file in the Variant Calling format (VCF) (Poge et al., Am J Transpl [Internet] 5(6):1306-11 (2005)).

Glomerular Filtration Rates.

Kidney graft function is a continuous phenotype that can be objectively quantified by estimating the glomerular filtration rate (GFR, i.e., the volume of blood that the kidney filtrates per minute). The GFR can be estimated (eGFR) from creatinine levels in blood and several clinical variables (Poge et al., Am J Transplant 5(6):1306-11 (2005)). Creatinemia refers to the amount of creatinine in the urine, where an excess of creatinine (creatinemia) is an indicator of poor kidney function. The GFR estimates are denoted as eGFR and were used routinely to monitor graft function in patients, where a greater GFR/eGFR rate is an indicator of better kidney function. Healthy, non-transplanted individuals have eGFR value 90 ml/min Kidney transplant recipients with an eGFR larger than 60 ml/min are considered to have excellent graft function (these patients have only one functioning kidney), while a value below 15 ml/min indicates that the patient may require dialysis.

Results

The allogenomics mismatch score was examined to ascertain whether it is associated with kidney allograft function, as characterized by serum creatinine levels and eGFR measurement at 12, 24 or 36 months post-transplantation. Renal allograft function data were recorded as part of clinical care and the data were stored in the CTOT-04 clinical database.

A linear correlation was present between the allogenomics mismatch score and both eGFR (FIG. 2A) and creatinine levels (FIG. 2B). The level of correlation increased with time from transplant, to reach r²>0.6 at 36 months post-transplant.

This example illustrates that the allogenomics method described herein is able to estimate a quantitative score, the allogenomics mismatch score, from genomic data available before a transplant is performed, and that this score correlates with graft function several years after transplantation.

Example 2 Implementation of the Method in the Allogenomics Scoring Tool

An allogenomics scoring tool has been developed to process genotypes in the Variant Calling Format and produce allogenomics mismatch score estimates for specific pairs of genomes in the input file. The allogenomics scoring tool was implemented in Java with the Goby framework and is designed to read VCF files produced by GobyWeb (Suthanthiran et al., N Engl J Med [Internet] 369(1):20-31 (2013)).

Example 3 Selection of Informative Polymorphisms

The selection of the set of polymorphic sites P can contribute to the effectiveness of the approach. In the current method, exonic polymorphic sites were selected that are predicted to create non-synonymous change in a protein sequence. Additional filters can be applied to restrict P, which may lead to improved prediction of transplant clinical endpoints. Some filters may also be applied to restrict the set of polymorphisms to a set easier or faster to measure. The inventors have restricted P to a set of non-synonymous polymorphisms in transmembrane proteins and have obtained results similar to those shown in FIG. 2.

Example 4 Tuning of the Polymorphism Set P for Different Types of Graft or Clinical Outcome and Endpoints

The methods of the allogenomics scoring tool were implemented to obtain score contributions for regions of the genome that span multiple polymorphic sites in P. For instance, the allogenomics scoring tool can produce estimates of allogenomics mismatch score over gene regions. This is useful to obtain data about the immunogenic potential of specific genes, and can be used to optimize the set of polymorphisms measured and used in the allogenomics method described in this invention. Analysis of data produced with this tool when analyzing matched donor recipient genomic information illustrates how to define subset of polymorphisms that are tuned to predict specific clinical outcomes for specific graft types (e.g., kidney, liver, solid organ transplantations, bone marrow, stem cell transplantations, etc.). These subsets of polymorphisms follow directly from the invention disclosed herein.

Example 5 Materials and Methods

This Example describes some of the materials and methods used in the development of the invention.

Discovery Cohort: Transplant Recipients and DNA Samples.

Ten kidney transplant recipients were randomly selected from those who had consented to participate in the Clinical Trials in Organ Transplantation-04 (CTOT-04), a multicenter observational study of noninvasive diagnosis of renal allograft rejection by urinary cell mRNA profiling. The only recipients included were those who had a living donor transplant and, along with their donors, had provided informed consent for the use of their stored biological specimens for future research. The demographic information is shown in Table 3.

TABLE 3 Kidney transplant recipient and their donor characteristics. Discovery Validation Characteristic cohort cohort Number of Transplant Pairs with 10/10 24/24 living donors Clinical factors Age Donor — 45.5 (9.3) Recipient (SD) 48 (10) 51 (13.4) Living Donor type Living related (allogenomic score) — 13 (939 (218)) Living unrelated (allogenomic — 11 (1277 (170)) score) Donor sex Male — 8 Female — 16 Recipient sex Male (%) 9 (90%) 13 (54%) Female (%) 1 (10%) 11 (46%) Recipient Ethnicity Black (%) 4 (40%) 7 (29%) Non-Black (%) 6 (60%) 17 (71%) Ethnicity “Mismatches” — 5 Gender “Mismatches” on Y — 2 Number of HLA mismatches 3.9 (1.8) 3.6 (1.93) ABDR (SD) Functional Factors Patient number 12 months 10 24 Creatininemia-12 Months 1.51 (0.32) 1.44 (0.40) mg/dL (SD) Estimated eGFR- 54.3 (10) 52.5 (16.5) 12 ml/min/1.73 m2 months (SD) Patient number 24 months 9 23 Creatininemia-24 Months mg/dL 1.35 (0.17) 1.46 (0.48) (SD) Estimated eGFR- 59 (7.4) 52.7 (16.5) 24 ml/min/1.73 m2 months (SD) Patient number 36 months 8 24 Creatininemia-36 Months 1.62 (0.47) 1.40 (0.41) mg/dL (SD) Estimated eGFR-36 months 53.4 (15) 54.5 (16.5) ml/min/1.73 m2 (SD) Number of patient with an Acute 3 (30%) 5 (20%) Cellular rejection episode before the first year Total (%) Calcineurin Inhibitor use Total — Cyclosporine — 0 Tacrolimus — 24 (100%) Antiproliferative use Total (%) Azathioprine — 0 Mycophenolic acid — 24 (100%) Neither — 0 Corticosteroid use at 36 months — 5 (21%) Total (%)

DNA was extracted from stored peripheral blood using the EZ1 DNA blood kit (Qiagen®) based on the manufacturer recommendation.

Discovery Cohort: Whole Exome Sequencing.

DNA was enriched for exon regions with the TruSeq exome enrichment kit v3. Sequencing libraries were constructed using the Illumina TruSeq kit DNA sample preparation kit. Briefly, 1.8 μg of genomic DNA was sheared to average fragment size of 200 bp using the Covaris E220 (Covaris, Woburn, Mass., USA). Fragments were purified using AmpPureXP beads (Beckman Coulter, Brae, Calif., USA) to remove small products (<100 bp), yielding 1 μg of material that was end-polished, A-tailed and adapter ligated according to the manufacturer's protocol.

Libraries were subjected to minimal PCR cycling and quantified using the Agilent High Sensitivity DNA assay (Agilent, Santa Clara, Calif., USA).

Libraries were combined into pools of six for solution phase hybridization using the Illumina (Illumina, San Diego, Calif., USA) TruSeq Exome Enrichment Kit. Captured libraries were assessed for both quality and yield using the Agilent High Sensitivity DNA assay Library Quantification Kit. Sequencing was performed with six samples per lane using the Illumina HiSeq 2000 sequencer and version 2 of the sequencing-by-synthesis reagents to generate 100 bp single-end reads (1×100 SE).

Validation cohort: Transplant recipients and DNA samples.

Twenty-four kidney transplant recipients were studied who had a living donor transplant at the Cornell University Medical Center. This was an independent cohort and none of the recipients had participated in the CTOT-04 trial. Recipients were selected randomly based on the availability of archived paired recipient-donor DNA specimens obtained at the time of transplantation at the Cornell Immunogenetics and Transplantation Laboratory. The Institutional Review Board at Cornell approved the study. DNA extraction from peripheral blood was done using the EZ1 DNA blood kit) (QIAGEN®) based on the manufacturer recommendation.

Validation Cohort: Whole Exome Sequencing.

The validation cohort was assayed with the Agilent Haloplex exome sequencing assay. The Haloplex assay enriches 37 Mb of coding sequence in the human genome and was selected for the validation cohort because it provides a strong and consistent exon enrichment efficiency for regions of the genome most likely to contribute to the allogenomics contributions in protein sequences. In contrast, the TrueSeq assay (used for the Discovery Cohort) enriches 63 Mb of sequence and includes regions in untranslated regions (5′ and 3′ UTRs), which do not contribute to allogenomics scores and therefore do not need to be sequenced to estimate the score. Libraries were prepared as per the Agilent recommended protocol. Sequencing was performed on an Illumina 2500 sequencer with the 100 bp paired-end protocol recommended by Agilent for the Haloplex assay. Libraries were multiplexed 6 per lane to yield approximately 30 million PE reads per sample.

Allogenomics Site Minor Allele Frequencies.

The minor allele frequency of sites used in the calculation of the allogenomics mismatch score was determined using data from the NHLBI Exome Sequencing Project (ESP) release ESP6500SI-V2. The data file ESP6500SI-V2-SSA137.protein-hgvs-update.snps_indels.txt.tangz was downloaded and extracted minor allele frequency (MAF) in the European American population (EA) and in the African American population (AA) (Exome Variant Server, NHLBI GO Exome Sequencing Project (ESP) [Internet]. 2014 (Jun. 20, 2014). Available from the following website: evs.gs.washington.edu/EVS/. The ESP measured genotypes in a population of 6,503 individuals across the EA and AA populations using an exome-sequencing assay (id.). This resource made it possible to estimate minor allele frequency for most of the variations that are observed in the subjects included in our discovery and validation cohort.

Overlap with EVP Variants.

Of 12,457 sites measured in the validation cohort with an allogenomics contribution strictly larger than zero (48 exomes, sites with contributions across 24 clinical pairs of transplants), 9,765 (78%) have also been reported in EVP (6,503 exomes).

Sequence Data Analysis.

Illumina sequence base calling was performed in the Weill Cornell Genomics Core Facility. Sequence data in FASTQ format were converted to the compact-reads format using the Goby framework (Goldfarb-Rumyantzev & Naiman, Curr Opin Nephrol Hypertens 17(6):573-9 (2008)). Compact-reads were uploaded to the GobyWeb (Dorff et al., PLoS One 8 (7):e69666 (2013)) system and aligned to the 1000 genome reference build for the human genome (corresponding to hg19, released in February 2009) using the Last (Frith et al., BMC Bioinformatics 11(1):80 (2010); Kielbasa et al., Genome Res 21(3):487-93 (2011)) aligner (parallelized in a GobyWeb plugin; Dorff et al., PLoS One 8 (7):e69666 (2013)). Single nucleotide polymorphisms (SNPs) and small indels genotype were called using GobyWeb with the Goby (Campagne et al., PLoS One 8 (11):e79871 (2013)) discover-sequence-variants mode and annotated using the Variant Effect Predictor (McLaren et al., Bioinformatics 26(16):2069-70 (2010), VEP version 75) from Ensembl. The data were downloaded as a Variant Calling format (VCF) file from GobyWeb (Dorff et al., PLoS One 8 (7):e69666 (2013)) and further processed with the allogenomics scoring tool (see website at allogenomics.campagnelab.org).

Estimation of the Allogenomics Mismatch Score.

The allogenomics mismatch score Δ(r,d) is estimated for a recipient r and donor d as a sum of score mismatch contributions (see Equation 1).

$\begin{matrix} {{\Delta \left( {r,d} \right)} = {\sum\limits_{p \in P}\; {\delta_{p}\left\lbrack {{G_{rp} = {{genotype}\left( {r,p} \right)}},{G_{dp} = {{genotype}\left( {d,p} \right)}}} \right\rbrack}}} & {{Equation}\mspace{14mu} 1} \end{matrix}$

-   -   where:         -   δ_(p) is defined in Equation 2;         -   P is a set of all genomic positions of interest;         -   p is a polymorphic site in a set P;         -   G_(rp) is the genotype of the recipient r at genomic             site/position p; and         -   G_(dp) is the genotype of the donor d at site p.

Contributions are observed for each polymorphic site p in a set P, where P is determined by the genotyping assay and analysis methods, and can be further restricted (e.g., to polymorphisms within genes that code for membrane proteins). Score mismatch contributions δ_(p)(G_(rp),G_(dp)) is calculated using the recipient genotype G_(rp) and the donor genotype G_(dp) at the polymorphic site p. Here, a genotype can be represented as a set of alleles that were called in a given genome. For instance, if a subject has two alleles at one polymorphic site, and each allele is denoted A or B, the genotype at p is represented by the set {A,B}. This representation is general and sufficient to process polymorphic sites with single nucleotide polymorphisms or insertion/deletions.

Equation 2 describes how the individual score mismatch contributions δ_(p)(G_(rp),G_(dp)) are calculated at a polymorphic site of interest.

$\begin{matrix} {{\delta_{p}\left( {G_{rp},G_{dp}} \right)} = {\sum\limits_{a \in G_{dp}}\; \left\{ {\begin{matrix} 0 & {{{if}\mspace{14mu} a} \in G_{r,p}} \\ 1 & {otherwise} \end{matrix}.} \right.}} & {{Equation}\mspace{14mu} 2} \end{matrix}$

where

-   -   a is an allele;     -   P is a set of all genomic positions of interest;     -   p is a polymorphic site in a set P;     -   G_(rp) is the genotype of the recipient r at genomic         site/position p; and     -   G_(dp) is the genotype of the donor d at site p.

A contribution of 1 is added to the score for each polymorphic site where the donor genome has an allele (a_(dp)) that is not also present in the recipient genome. When both donor and recipient genome are called at polymorphic site P (i.e., both have the same polymorphism or sequence), no contribution is added. However, for a genomic site where the donor genome has two alleles, i.e., G_(dp)={A,B}, and the recipient genome is homozygote with G_(rp)={A}, then (G_(rp),G_(dp)) is 1 for that site.

Table 4 presents additional examples of donor and recipient genotypes and indicates the resulting score contribution (the subscript p is omitted for conciseness). Score contributions are summed across all polymorphism sites in the set P to yield the allogenomic mismatch score (see Equation 1).

TABLE 4 Examples of recipient/donor mismatches allogenomic score contributions. Gd = {A, B} Gr = {A, B} (Gr, Gd) = 0 Gd = {A} Gr = {B} (Gr, Gd) = 1 Gd = {B} Gr = {A, B} (Gr, Gd) = 0 Gd = {A, B} Gr = {C} (Gr, Gd) = 2

Selection of Informative Polymorphisms.

The selection of the set of polymorphic sites P contributes to the effectiveness of the approach. In the current method, exonic polymorphic sites were selected that are (1) predicted to create non-synonymous changes protein sequences, (2) are located in genes that code for one or more membrane proteins (defined as any protein with at least one predicted transmembrane segment, information obtained from Biomart, Ensembl database 75; Haider et al., Nucleic Acids Res [Internet] 37 (Jul. 1, 2009). Additional filters can be applied to restrict P, which may lead to improved prediction of transplant clinical endpoints. Constructing additional filters will require the study of a larger training set of matched recipient and donor genotypes, which currently does not exist. It is possible that such study will indicate that other criteria than (2) also lead to predictive scores.

Implementation: The Allogenomics Scoring Tool.

An allogenomics scoring tool was developed to process genotypes in the VCF format and produce allogenomics mismatch score estimates for specific pairs of genomes in the input file. The allogenomics scoring tool was implemented in Java with the Goby framework and is designed to read VCF files produced by Goby and GobyWeb. The source code of the allogenomics scoring tools is distributed for academic and non-commercial purposes at the allogenomics.campagnelab.org website.

The following command line arguments were used to generate the estimates described herein and can be run from an Allogenomics_Package file available from the inventors. The genotype input file for reproducing these results (GobyWeb tag: JEOHQUR) will be distributed through dbGAP (at the ncbi.nlm.nih.gov/gap website) to control access to these private genotype human subject data. A copy of the file can be obtained from the inventors upon condition of confidentiality.

As a pre-requisite to running the command lines: (1) the Java runtime environment should be installed on your computer (the software has been tested with version 1.6); (2) the environment variable ALLO should be defined to the location where the distribution of the allogemomics scoring tool has been downloaded; and (3) the input VCF file has been obtained and placed under: ${ALLO}/VCF_files_input/JEOHQUR-stats.vcf.gz

Estimating Allogenomics Mismatch Scores on the Discovery Cohort:

java -Xmx4g -jar allogenomics-1.1.7-scoring-tool.jar \   --input ${ALLO}/VCF_files_input/JEOHQUR-stats.vcf.gz \   -p ${ALLO}/Pair_files/Discovery_cohort.pairs.tsv \   -a Annotation_files/All_protein_coding_Ensembl_75.gtf \   --output ${ALLO}/Output/TM-Discovery.tsv \   --output-format TSV --only-non-synonymous-coding --vep \   --consider-indels --minimum-depth 10 --max-depth 500 \   -t ${ALLO}/Annotation_files/TrM-Transcript_Ensembl_75.tsv \   --clinical

Estimating Allogenomics Mismatch Scores on the Validation Cohort:

java -Xmx4g -jar allogenomics-1.1.7-scoring-tool.jar \   --input ${ALLO}/VCF_files_input/JEOHQUR-stats.vcf.gz \   -p ${ALLO}/Pair_files/Validation_cohort.pairs.tsv \   -a ${ALLO}/Annotation_files/   All_protein_coding_Ensembl_75.gtf \   --output ${ALLO}/Output/TM-Validation.tsv \   --output-format TSV --only-non-synonymous-coding --vep \   --consider-indels --minimum-depth 10 --max-depth 500 \   -t ${ALLO}/Annotation_files/TrM-Transcript_Ensembl_75.tsv \   --clinical --measured-sites SitesHaloplexExome.tsv

Estimating Allogenomics Mismatch Scores on Merged Discovery and Validation Cohorts:

java -Xmx4g -jar allogenomics-1.1.7-scoring-tool.jar \   --input ${ALLO}/VCF_files_input/JEOHQUR-stats.vcf.gz\   -p Pair_files/Discovery+Validation_cohort.pairs.tsv \   -a ${ALLO}/Annotation_files/   All_protein_coding_Ensembl_75.gtf \   --output ${ALLO}/Output/TM-Discovery+Validation.tsv \   --output-format TSV --only-non-synonymous-coding \   --vep --consider-indels --minimum-depth 10 \   --max-depth 500 \   -t ${ALLO}/Annotation_files/TrM-Transcript_Ensembl_75.tsv   --clinical

Estimating Allogenomics Mismatch Score Limited to Illumina GeneChip660W Loci on the Validation Cohort:

java -Xmx4g -jar allogenomics-1.1.7-scoring-tool.jar \   --input ${ALLO}/VCF_files_input/JEOHQUR-stats.vcf.gz \   -p ${ALLO}/Pair_files/Validation_cohort.pairs.tsv \   -a ${ALLO}/Annotation_for_660W/ Human660W_Gene_Annotation_hg19-ilmn.tsv \   --output ${ALLO}/Output/TM-Validation_Illumina660W.tsv \   --output-format TSV --only-non-synonymous-coding --vep \   --consider-indels --minimum-depth 10 --max-depth 500 \   -t ${ALLO}/Annotation_for_660W/   TM-as-gene-names_for_Illumina660W.tsv \   --clinical --measured-sites sites-660W.tsv

Example 6 The Allogenomics Mismatch Score Correlates with Graft Function Post Transplantation

This Example describes some of the results of an additional study illustrating the allogenomics methods. The procedures described in Example 5 were used during this study.

In order to test the allogenomics hypothesis, DNA from 10 kidney graft recipients and their living donors (Discovery Cohort) was isolated, whole exome sequencing was performed, and genotype data for these matched recipient and donor genomes (20 exomes) was analyzed. These patients were a subset of patients enrolled in a multicenter Clinical Trial in Organ Transplantation-04 (CTOT-04) study of urinary cell mRNA profiling and from whom tissue/cells were collected for future mechanistic studies (Suthanthiran et al. N Engl J Med 369(1):20-31 (2013)). Table 3 provides demographics information about the patients included in the Discovery Cohort. Exome data were obtained with the Illumina TrueSeq exome enrichment kit v3. Primary sequence data analyses were conducted with GobyWeb (data and analysis management; see, Dorff et al., PLoS One 8 (7):e69666 (2013)), Last (alignment to the genome; see Kielbasa et al., Genome Res 21(3):487-93 (2011)) and Goby (genotype calls; see Campagne et al., PLoS One 8 (11):e79871 (2013)).

Kidney graft function is a continuous phenotype and is clinically evaluated by measuring serum creatinine levels or using estimated glomerular filtration rate (eGFR; see Poge et al., Am J Transpl 5(6):1306-11 (2005)). In this study, kidney graft function was evaluated at months 12, 24, 36 or 48 following transplantation using serum creatinine levels and eGFR, calculated using the 2011 MDRD formula (see Levey et al., Ann Intern Med 154(1):65-7 (2011)). The allogenomics mismatch score was examined to ascertain whether it is associated with post-transplant allograft function.

Positive linear associations between the allogenomics mismatch score and serum creatinine levels at 36 months post transplantation (R² adj.=0.78, P<0.01, n=10, at 36 months) were obtained but not 12 or 24 months following kidney transplantation (FIG. 3A-3C). A negative linear relationship was found between the score and eGFR at 36 months post transplantation (R² adj.=0.57, P=0.02) but not at 12 or 24 months following kidney transplantation (FIG. 3D-3F). The association between the score and graft function suggests that the allogenomics score is predictive of long-term graft function rather than short-term function.

Example 7 The Allogenomics Mismatch Score Associates with Graft Function in an Independent Cohort of Kidney Recipient-Donor Pairs

This Example describes some of the results of an additional study illustrating the allogenomics methods. The procedures described in Example 5 were used during this study.

To validate the finding that the allogenomics mismatch score is associated with post-transplant kidney graft function the association in an independent cohort of kidney transplant patients was tested. DNA was collected from 24 additional kidney recipient-donor pairs (see Table 3 for demographic information of subjects included in the Validation cohort) and sequenced. DNA sequencing was performed using the Agilent Haloplex assay covering 37 Mb of the coding sequence of the human genome. The genotypes were identified and the allogenomics mismatch score was estimated as described in Example 5).

FIG. 4 shows that, as observed with the Discovery cohort, the allogenomics mismatch score correlates progressively better with kidney graft function with increase in the time following transplantation. At 36 months post-transplantation, a moderate positive association was observed between the allogenomics mismatch score and the serum creatinine levels (R² adj. 0.139, P=0.049) (FIG. 4C) and eGFR (R² adj. 0.078, P=0.11) (FIG. 4G). The association between the score and graft function was stronger and reached significance at 48 months post-transplantation for both creatinine levels (R² adj. 0.394, P<0.01) (FIG. 4D), and eGFR (R² adj. 0.284, P=0.02) (FIG. 4H), further validating the association in the Validation cohort.

To test whether models trained on one cohort would generalize to another cohort, models were trained on the Discovery cohort and the fixed model was used to predict graft function in the Validation cohort. FIG. 5 shows that such a fixed model does generalize when presented with new recipient-donor pairs, and that the fixed model also exhibited better fit to the longer 48 month time-point compared to the earlier time-point (FIG. 5B vs. 5C) Similarly, models trained on the Validation cohort generalize to the Discovery cohort (FIG. 6A-6B). These results establish that the parameters of the models are stable, despite the relatively small numbers of kidney recipient-donor pairs included in the Discovery and Validation cohorts.

Example 8 Relation of Allogenomics Mismatch Scores to HLA Mismatches

This Example describes some of the results of an additional study illustrating the allogenomics methods. The procedures described in Example 5 were used during this study.

FIG. 7 presents an analysis where the Discovery and Validation cohorts (34 transplant kidney recipient-donor pairs) were combined, and the allogenomics scores were compared to the number of mismatches at the HLA-A, B and DR loci. The allogenomics mismatch score is moderately correlated with the number of mismatches at the HLA loci (FIG. 7A, R² adj.=0.36, P<0.001). However, the number of HLA mismatches correlates poorly with an allogenomics score estimated from exome data when restricting the sites to the HLA loci (FIG. 7B, R² adj.=0.1, P=0.03). Furthermore, the allogenomics mismatch score estimated outside of the HLA loci still significantly associates with serum creatinine levels (FIG. 7C) and eGFR (FIG. 7D). These data indicate that the allogenomics method does not rely upon data from the HLA loci, and is mostly independent of the HLA loci.

Example 9 Final Models

This Example describes some of the results of an additional study illustrating the allogenomics methods. The procedures described in Example 5 were used during this study.

Models were fitted across the combined cohorts to yield final models with fixed parameters. These models are trained across the 32 pairs of the Discovery and Validation cohorts against serum creatinine levels at 36 months:

creatinine_at_36_months=0.3823513+0.0009216*allogenomics_mismatch_score;

and eGFR at 36 months:

eGFR_at_36 months=83.802675−0.0254203*allogenomics_mismatch_score.

The equations and parameters are provided to enable testing of these models on independent cohorts of transplant pairs genotyped with exome sequencing. Fit parameter values were estimated with JMP Pro release 11, Fit X by Y, Fit Line. Note that the parameters of this model are sensitive to the exact analysis pipeline used to align reads to the genome and to call genotypes and that a test of this model will require following the exact analysis protocol we have used.

Example 10 Impact of Genotyping Platform and Rare Polymorphisms

This Example describes some of the results of an additional study illustrating the allogenomics methods. The procedures described in Example 5 were used during this study.

The impact of the genotyping platform on the estimation of the allogenomics mismatch score was evaluated as illustrated in FIG. 8. Large cohorts of matched recipient and donor DNA are being assembled and genotyped with SNP chip array technology such as the Illumina 660W bead array platform (Franklin et al., A genome-wide association study of kidney transplant survival: Donors recipients and interactions. In: American Conference of Human Genetics. 2012. Available from the website www.ashg.org/2012meeting/abstracts/fulltext/f120120818.htm). In this study, the inventors asked whether such platforms would be appropriate to validate the allogenomics model in large cohorts. FIG. 8A documents the number of sites that contribute to the allogenomics score on each platform. FIG. 8B shows that the exome assay captures many more sites with rare polymorphisms (minor allele frequency<5%) than the GWAS array platform. This is because exome assays directly sequence an individual DNA, while GWAS platforms are designed with a fixed set of polymorphisms and will not include many of the rare polymorphisms any given individual may carry. FIG. 8C compares the correlations measured with the exome assay or that could have been obtained if the allogenomics mismatch score had been measured with the Illumina 660W assay. The weak correlations obtained strongly suggest that GWAS platforms are not ideal for future tests of the allogenomics model.

Table 5 provides a list of some genes that can be evaluated in the methods described herein.

TABLE 5 Gene List HGNC symbol HGNC symbol ID Ensembl Gene ID Ensembl Gene KIR2DL3 ENSG00000275008 SDK1 ENSG00000267001 KIR2DS3 ENSG00000277657 PIANP ENSG00000139200 NEU1 ENSG00000228691 OR12D2 ENSG00000168787 OR51Q1 ENSG00000167360 RYR3 ENSG00000198838 P2RX5-TAX1BP3 ENSG00000257950 C3orf35 ENSG00000279651 KIR3DL1 ENSG00000274920 STX16 ENSG00000124222 KIR3DL3 ENSG00000274394 ENSG00000250264 PRNP ENSG00000171867 CRHR1 ENSG00000278232 ARSE ENSG00000157399 CD96 ENSG00000153283 C6orf10 ENSG00000232106 ARMCX1 ENSG00000126947 LILRB2 ENSG00000275463 TMEM17 ENSG00000186889 TAS2R14 ENSG00000212127 ENSG00000278904 NFE2L3 ENSG00000050344 SPPL3 ENSG00000157837 PRLR ENSG00000113494 SLC7A8 ENSG00000092068 ZG16B ENSG00000162078 SYT10 ENSG00000110975 C10orf105 ENSG00000214688 KCNJ2 ENSG00000123700 CLDN10 ENSG00000134873 ENSG00000280442 HLA-DRA ENSG00000204287 ITPR3 ENSG00000096433 HLA-DOA ENSG00000204252 OR2F1 ENSG00000279723 MOG ENSG00000234096 TAS2R10 ENSG00000121318 ERVMER34-1 ENSG00000226887 OR8D4 ENSG00000181518 KCNV2 ENSG00000168263 ENSG00000279545 HRASLS2 ENSG00000133328 KIR3DL3 ENSG00000274511 SLC39A9 ENSG00000029364 TAS2R50 ENSG00000212126 NFXL1 ENSG00000170448 CPD ENSG00000108582 LGR4 ENSG00000205213 LILRB4 ENSG00000278555 STRAP ENSG00000023734 GPHB5 ENSG00000179600 SLC27A4 ENSG00000167114 TAS2R31 ENSG00000256436 CATSPER4 ENSG00000188782 APLP2 ENSG00000084234 P2RX5 ENSG00000083454 OR2S2 ENSG00000122718 GGT5 ENSG00000099998 PCDH11Y ENSG00000280342 SLC5A2 ENSG00000140675 ENSG00000279896 HLA-DQA2 ENSG00000231526 UGT1A5 ENSG00000240224 OCLM ENSG00000262180 NOX1 ENSG00000007952 SLC26A8 ENSG00000112053 ENSG00000279823 ABCC6 ENSG00000091262 AGPAT1 ENSG00000228892 ATRNL1 ENSG00000107518 ENSG00000278906 TAPBP ENSG00000206281 OR4D5 ENSG00000171014 HSD3B1 ENSG00000203857 ENSG00000279596 GNS ENSG00000135677 ENSG00000279449 PAQR9 ENSG00000188582 OR6T1 ENSG00000181499 GPR160 ENSG00000173890 ENSG00000279052 CDH5 ENSG00000179776 LCT ENSG00000115850 ENSG00000278440 OR10S1 ENSG00000196248 C1orf27 ENSG00000157181 TPBG ENSG00000146242 HLA-DMA ENSG00000242685 ENSG00000279938 OR51B2 ENSG00000279012 B3GAT2 ENSG00000112309 KIR3DL3 ENSG00000278729 TRAF3IP3 ENSG00000009790 OR52B4 ENSG00000280253 OR10G6 ENSG00000198674 C4orf3 ENSG00000279402 SULF2 ENSG00000196562 SDK1 ENSG00000146555 OR10G4 ENSG00000254737 TRPM6 ENSG00000119121 FPR2 ENSG00000171049 OR10G9 ENSG00000236981 DEFB4B ENSG00000275444 OR10G8 ENSG00000234560 ADAM10 ENSG00000137845 SLC25A25 ENSG00000148339 SCN3A ENSG00000153253 C10orf35 ENSG00000171224 SORCS2 ENSG00000184985 SLC35D1 ENSG00000116704 ADCY1 ENSG00000164742 SLC16A12 ENSG00000152779 SMN2 ENSG00000277773 ANGPTL1 ENSG00000116194 RAMP1 ENSG00000132329 ELOVL3 ENSG00000119915 HTR2B ENSG00000135914 PAQR7 ENSG00000182749 FAM73B ENSG00000148343 ZP3 ENSG00000188372 ENSG00000279871 TNFSF15 ENSG00000181634 LMBR1L ENSG00000139636 TMEM52B ENSG00000165685 ANO5 ENSG00000171714 CLDN17 ENSG00000156282 OR2J2 ENSG00000226347 PTCH2 ENSG00000117425 GRIK1 ENSG00000171189 SCD ENSG00000099194 ICOSLG ENSG00000160223 TMEM74B ENSG00000125895 LRP8 ENSG00000157193 ENSG00000275249 CACNA1E ENSG00000198216 ENSG00000276613 NDUFA3 ENSG00000275605 CASD1 ENSG00000127995 NDST1 ENSG00000070614 GALR1 ENSG00000166573 TSPAN12 ENSG00000106025 KIR3DL3 ENSG00000242019 CHSY3 ENSG00000198108 ALB ENSG00000163631 MAS1L ENSG00000228515 VSTM1 ENSG00000276363 LHFPL3 ENSG00000187416 CPED1 ENSG00000106034 MET ENSG00000105976 GABBR1 ENSG00000232632 TMC4 ENSG00000277789 NDUFA3 ENSG00000277722 LINGO3 ENSG00000220008 OR5A1 ENSG00000172320 OR2L3 ENSG00000198128 EXTL2 ENSG00000162694 LAIR1 ENSG00000276053 IGDCC3 ENSG00000174498 SMIM2 ENSG00000139656 OR4D6 ENSG00000166884 PNISR ENSG00000132424 OR10G7 ENSG00000182634 OR2L8 ENSG00000279263 KLK4 ENSG00000167749 PIGB ENSG00000069943 CYP2S1 ENSG00000167600 SYVN1 ENSG00000162298 TTYH1 ENSG00000167614 GPR143 ENSG00000101850 PLOD2 ENSG00000152952 OR2T3 ENSG00000278377 FPR1 ENSG00000171051 SLC45A1 ENSG00000162426 ENSG00000276289 TAS2R46 ENSG00000226761 CWH43 ENSG00000109182 LINC00116 ENSG00000175701 TNFRSF8 ENSG00000120949 TBC1D2B ENSG00000167202 OR2S2 ENSG00000278889 SLC7A3 ENSG00000165349 CCDC108 ENSG00000181378 RHAG ENSG00000112077 SMIM20 ENSG00000250317 OR8U1 ENSG00000172199 FPR3 ENSG00000187474 CACNG6 ENSG00000130433 EGFLAM ENSG00000164318 SYP ENSG00000102003 SLC36A4 ENSG00000180773 ICAM2 ENSG00000108622 MCHR2 ENSG00000152034 SMDT1 ENSG00000272835 IL18RAP ENSG00000115607 HLA-DQA1 ENSG00000232062 LRP5 ENSG00000162337 TRDN ENSG00000186439 FZD1 ENSG00000157240 TARM1 ENSG00000275384 CACNG1 ENSG00000108878 SEL1L3 ENSG00000091490 METTL2B ENSG00000165055 ATP2A3 ENSG00000074370 SLC13A4 ENSG00000164707 OR2T6 ENSG00000278689 PIGBOS1 ENSG00000225973 CCR3 ENSG00000183625 TSHR ENSG00000165409 ST3GAL4 ENSG00000110080 DEFB4A ENSG00000275444 KCNE3 ENSG00000175538 CDH26 ENSG00000124215 ABCG2 ENSG00000118777 SLC13A3 ENSG00000158296 SLC44A4 ENSG00000204385 CD47 ENSG00000196776 LRRC59 ENSG00000108829 TAS2R20 ENSG00000255837 SLC35A1 ENSG00000164414 FURIN ENSG00000140564 ENSG00000261958 SLC39A2 ENSG00000165794 TAS2R14 ENSG00000276541 TAS2R13 ENSG00000212128 ENSG00000257046 KIR2DS2 ENSG00000275737 CACNA1A ENSG00000141837 HLA-DRA ENSG00000234794 ITIH1 ENSG00000055957 SLC44A1 ENSG00000070214 TMEM101 ENSG00000091947 RHCG ENSG00000140519 SEMA3B ENSG00000012171 OR5T2 ENSG00000262851 ABCA1 ENSG00000165029 OR5T3 ENSG00000261897 KIAA1549L ENSG00000110427 CHRFAM7A ENSG00000275917 KCNMB3 ENSG00000171121 KRTCAP2 ENSG00000163463 CCR1 ENSG00000163823 ENSG00000257062 POMT2 ENSG00000009830 KCNJ5 ENSG00000120457 KIR2DL4 ENSG00000274609 KIR2DL4 ENSG00000277850 PPIL3 ENSG00000240344 MFSD10 ENSG00000109736 NYX ENSG00000188937 LAPTM5 ENSG00000162511 SLC25A20 ENSG00000178537 ENSG00000278776 ENSG00000278194 DEFB105A ENSG00000274729 SLC38A6 ENSG00000139974 DEFB105B ENSG00000274729 OR4D10 ENSG00000254466 TMEM184C ENSG00000164168 ENSG00000274699 KIR3DL1 ENSG00000276501 SLC25A23 ENSG00000125648 GABRA4 ENSG00000109158 OR2T4 ENSG00000275617 HLA-DOB ENSG00000243612 GLCE ENSG00000138604 CLRN3 ENSG00000180745 TAP2 ENSG00000225967 ABCC1 ENSG00000278183 CYB561D2 ENSG00000114395 GABRD ENSG00000187730 KDSR ENSG00000119537 ENSG00000278307 APOL1 ENSG00000100342 LAT ENSG00000213658 CYHR1 ENSG00000187954 TMC4 ENSG00000274873 DHRS11 ENSG00000275397 OR8K3 ENSG00000262755 NCR1 ENSG00000273506 DHODH ENSG00000102967 OR2T3 ENSG00000277113 OR9G4 ENSG00000262647 SLC1A5 ENSG00000105281 MYRF ENSG00000124920 OR51J1 ENSG00000184321 TBL2 ENSG00000106638 NRXN3 ENSG00000021645 SLC30A9 ENSG00000014824 TMEM26 ENSG00000196932 ABCC3 ENSG00000108846 LY6G6E ENSG00000206401 CD200R1L ENSG00000206531 ATP5J2 ENSG00000241468 OR8K1 ENSG00000263328 ENSG00000259784 SLC1A1 ENSG00000106688 NPC1L1 ENSG00000015520 FMO4 ENSG00000076258 OFCC1 ENSG00000181355 NPBWR2 ENSG00000277339 CFAP61 ENSG00000089101 MALRD1 ENSG00000204740 STX17 ENSG00000136874 OR56A4 ENSG00000183389 ENSG00000278303 OR3A3 ENSG00000159961 BPIFB2 ENSG00000078898 OR2M5 ENSG00000162727 COQ7 ENSG00000167186 RXFP3 ENSG00000182631 ABHD16A ENSG00000224552 ENSG00000275331 SLC51A ENSG00000163959 FAM210B ENSG00000124098 HLA-DQA2 ENSG00000233192 NPY2R ENSG00000185149 HOGA1 ENSG00000241935 GJB3 ENSG00000188910 TAS2R43 ENSG00000255374 PROCR ENSG00000101000 GJB4 ENSG00000189433 ENSG00000113811 LY6G6E ENSG00000236210 TAS2R8 ENSG00000277316 C20orf24 ENSG00000101084 NXPE1 ENSG00000095110 SPPL2B ENSG00000005206 FLVCR1 ENSG00000162769 LILRA6 ENSG00000275584 TAS2R30 ENSG00000256188 CD72 ENSG00000137101 MBOAT7 ENSG00000277025 ST8SIA6 ENSG00000148488 SLC45A2 ENSG00000164175 ARSK ENSG00000164291 ENSG00000277044 TAS2R9 ENSG00000273713 SLC22A7 ENSG00000137204 SPN ENSG00000197471 ST8SIA1 ENSG00000111728 OR9G9 ENSG00000262191 ENSG00000280108 OR5P2 ENSG00000276025 TMEM64 ENSG00000180694 OR2M3 ENSG00000228198 ENSG00000279380 ATP6V0C ENSG00000185883 SMIM12 ENSG00000163866 LY75-CD302 ENSG00000248672 GAL ENSG00000069482 KCNMB4 ENSG00000135643 P2RY6 ENSG00000171631 TMC4 ENSG00000277996 TMC4 ENSG00000278363 GUCA2B ENSG00000044012 MDGA2 ENSG00000139915 PPAP2B ENSG00000162407 OR2M2 ENSG00000198601 CD22 ENSG00000012124 C17orf78 ENSG00000278145 KIAA1024L ENSG00000186367 SLC33A1 ENSG00000169359 HS6ST1 ENSG00000136720 CRLS1 ENSG00000088766 SLC26A1 ENSG00000145217 TMC1 ENSG00000165091 TNFRSF14 ENSG00000273936 TAS2R10 ENSG00000277238 FKBP14 ENSG00000106080 OR2T2 ENSG00000275754 SEMA6D ENSG00000137872 LY6G6F ENSG00000239741 OR4A47 ENSG00000237388 OR2T1 ENSG00000275244 ENSG00000259522 OR5P3 ENSG00000278253 NPBWR2 ENSG00000125522 POMK ENSG00000185900 CRY2 ENSG00000121671 PRPF38B ENSG00000134186 SERPINA9 ENSG00000170054 KIR2DL2 ENSG00000278692 OR4C6 ENSG00000181903 KIR2DL2 ENSG00000276126 UBA5 ENSG00000081307 ISM2 ENSG00000100593 SEC61A2 ENSG00000065665 OR5AK2 ENSG00000181273 ICOSLG ENSG00000277117 RYR2 ENSG00000198626 DHRS13 ENSG00000167536 SLC22A14 ENSG00000144671 TMEM115 ENSG00000126062 ENSG00000279282 HRH2 ENSG00000113749 CD4 ENSG00000010610 PIGW ENSG00000275600 TARM1 ENSG00000275123 FER1L5 ENSG00000249715 EPHA10 ENSG00000183317 ENSG00000258635 KIR3DL2 ENSG00000276739 IFNL1 ENSG00000182393 OR10A6 ENSG00000276451 TAS2R50 ENSG00000276167 SLC44A4 ENSG00000228263 PQLC2 ENSG00000040487 GRM1 ENSG00000152822 B4GALNT4 ENSG00000182272 AMN ENSG00000166126 HILPDA ENSG00000135245 IFI27L2 ENSG00000119632 VNN3 ENSG00000093134 KCNQ5 ENSG00000185760 CXCR3 ENSG00000186810 OTOF ENSG00000115155 KIR2DS4 ENSG00000275353 UGT1A4 ENSG00000244474 HLA-DOB ENSG00000241910 PTGER3 ENSG00000050628 STIM2 ENSG00000109689 OR10A3 ENSG00000273953 KIR2DS2 ENSG00000275452 PTPLAD1 ENSG00000074696 ENSG00000279342 BLCAP ENSG00000166619 QPCTL ENSG00000011478 EVC ENSG00000072840 OR2T4 ENSG00000274870 HLA-E ENSG00000225201 CLCNKA ENSG00000186510 ENSG00000279096 SYPL1 ENSG00000008282 PRSS16 ENSG00000112812 MYOF ENSG00000138119 TMEM100 ENSG00000166292 DENND5A ENSG00000184014 ENSG00000279214 AREL1 ENSG00000119682 LY6G6F ENSG00000243804 DNASE2B ENSG00000137976 COL26A1 ENSG00000160963 OR4C13 ENSG00000258817 DDR1 ENSG00000215522 BPIFB1 ENSG00000125999 TAS2R19 ENSG00000212124 OR10C1 ENSG00000220550 UCN2 ENSG00000145040 PLD5 ENSG00000180287 OR56A1 ENSG00000180934 ENSG00000204422 TMEM63A ENSG00000196187 ENSG00000279374 OR2H2 ENSG00000224319 METTL16 ENSG00000127804 RETSAT ENSG00000042445 TARM1 ENSG00000275806 OR2M4 ENSG00000171180 CD163 ENSG00000177575 SSTR4 ENSG00000132671 CTXN3 ENSG00000205279 CELSR2 ENSG00000143126 OR4N4 ENSG00000274792 SLC35A3 ENSG00000117620 MAS1L ENSG00000233141 KIR3DL1 ENSG00000275717 OR51M1 ENSG00000184698 EVC2 ENSG00000173040 GGCX ENSG00000115486 ENSG00000250641 LY6G6E ENSG00000237482 LY6G6F ENSG00000243003 EREG ENSG00000124882 SLC22A18 ENSG00000110628 HLA-DMB ENSG00000241674 GDPD3 ENSG00000102886 TMEM147 ENSG00000105677 ENSG00000272000 SCAMP3 ENSG00000116521 GDPD3 ENSG00000198064 BTNL3 ENSG00000168903 KIR3DL2 ENSG00000278710 OR2T12 ENSG00000177201 ABCC9 ENSG00000069431 ARSF ENSG00000062096 OR4B1 ENSG00000175619 CYB561A3 ENSG00000162144 TRIM59 ENSG00000213186 TM4SF19-TCTEX1D2 ENSG00000273331 CCL4 ENSG00000275824 SEC22C ENSG00000093183 MGST1 ENSG00000008394 TYROBP ENSG00000011600 KIR3DL2 ENSG00000274722 OR2M7 ENSG00000177186 TAS2R45 ENSG00000278111 TM4SF19 ENSG00000145107 GP1BA ENSG00000185245 SLC25A31 ENSG00000151475 IL2RA ENSG00000134460 FUT3 ENSG00000171124 OR2T33 ENSG00000177212 OR14C36 ENSG00000177174 CLCN6 ENSG00000011021 ATP6V0E1 ENSG00000113732 SLC9C1 ENSG00000172139 ENSG00000278742 KIR3DL1 ENSG00000167633 TMEM156 ENSG00000121895 SLC41A1 ENSG00000133065 PKHD1 ENSG00000170927 KCNH6 ENSG00000173826 ARMCX6 ENSG00000198960 SLC6A1 ENSG00000157103 OR13A1 ENSG00000277495 OR5I1 ENSG00000167825 CTNS ENSG00000040531 EMR1 ENSG00000174837 P2RY8 ENSG00000182162 POLR2J3 ENSG00000168255 SLC10A4 ENSG00000145248 KIR2DS5 ENSG00000274739 GP6 ENSG00000275633 TMEM132B ENSG00000139364 ENTPD6 ENSG00000197586 SHH ENSG00000164690 GLRA1 ENSG00000145888 OR11A1 ENSG00000206517 C3orf80 ENSG00000180044 MS4A3 ENSG00000149516 ABCG1 ENSG00000160179 CEACAM21 ENSG00000278565 ZNF708 ENSG00000182141 MAATS1 ENSG00000183833 TAS2R39 ENSG00000236398 MUC4 ENSG00000275164 GRM3 ENSG00000198822 KCNJ3 ENSG00000162989 CRIM1 ENSG00000277354 UGT8 ENSG00000174607 OR8U8 ENSG00000262315 LEPROTL1 ENSG00000104660 OR8U9 ENSG00000262315 CLCN2 ENSG00000114859 ATP11A ENSG00000068650 OR4A5 ENSG00000221840 SPATA31A1 ENSG00000204849 OR5K2 ENSG00000231861 KIR2DL3 ENSG00000277924 GABRB1 ENSG00000163288 TMEFF1 ENSG00000241697 ENSG00000259101 OR10A6 ENSG00000279000 SLC7A1 ENSG00000139514 HPN ENSG00000105707 SCRG1 ENSG00000164106 MPEG1 ENSG00000197629 TMEM2 ENSG00000135048 HSPA13 ENSG00000155304 OR2J3 ENSG00000226271 CRB3 ENSG00000130545 MFSD7 ENSG00000169026 VSTM1 ENSG00000274887 LRRN3 ENSG00000173114 GAA ENSG00000171298 HHIP ENSG00000164161 MBOAT7 ENSG00000274194 ITPRIPL1 ENSG00000198885 SLC35F6 ENSG00000213699 FUT10 ENSG00000172728 KIR2DL2 ENSG00000277725 SLC39A7 ENSG00000112473 SLC17A9 ENSG00000101194 MUC15 ENSG00000169550 TNFSF13B ENSG00000102524 STX4 ENSG00000103496 LY6G6E ENSG00000224708 LHFPL4 ENSG00000156959 GPNMB ENSG00000136235 PLXDC2 ENSG00000120594 OR10A3 ENSG00000170683 SLC25A22 ENSG00000177542 METTL7A ENSG00000185432 FAM189A2 ENSG00000135063 GJA4 ENSG00000187513 EMC7 ENSG00000134153 TLR8 ENSG00000101916 OR2T4 ENSG00000196944 COX8C ENSG00000277018 LY6G6D ENSG00000206402 OR8J1 ENSG00000262796 TAS2R40 ENSG00000221937 SGCG ENSG00000102683 IL22RA1 ENSG00000142677 TGIF2-C20orf24 ENSG00000259399 ABHD16A ENSG00000204427 MGAT5B ENSG00000167889 KIR2DL5A ENSG00000275436 OR2T1 ENSG00000175143 OR2T6 ENSG00000198104 MGAT5 ENSG00000152127 MS4A18 ENSG00000214782 NDUFA3 ENSG00000276220 HLA-DRB1 ENSG00000228080 DNAJB9 ENSG00000128590 SLITRK4 ENSG00000179542 PCDH8 ENSG00000136099 SDC2 ENSG00000169439 XKR6 ENSG00000171044 MBOAT7 ENSG00000277923 ENSG00000262302 GANAB ENSG00000089597 ENSG00000277221 OR7G3 ENSG00000170920 THSD7B ENSG00000144229 RNF222 ENSG00000189051 OR2J3 ENSG00000229866 ADRA1D ENSG00000171873 CHL1 ENSG00000134121 YIPF6 ENSG00000181704 CISD1 ENSG00000122873 MOSPD2 ENSG00000130150 OR8K5 ENSG00000181752 KIR2DL4 ENSG00000275237 FAM20C ENSG00000177706 ANO3 ENSG00000134343 PPAPDC2 ENSG00000205808 ENSG00000262611 SOX1 ENSG00000182968 OR4A16 ENSG00000181961 MMP16 ENSG00000156103 EPGN ENSG00000182585 TAS2R42 ENSG00000186136 NDUFA1 ENSG00000125356 CCKAR ENSG00000163394 NNAT ENSG00000053438 IL9R ENSG00000124334 GPR151 ENSG00000173250 SLC30A2 ENSG00000158014 FAAH ENSG00000117480 OR4A15 ENSG00000181958 PYY ENSG00000131096 OR6S1 ENSG00000181803 HLA-DOA ENSG00000231558 LY6G6D ENSG00000226603 PTGIS ENSG00000124212 TUBB3 ENSG00000198211 PLXND1 ENSG00000004399 PCDHB3 ENSG00000113205 ENSG00000129951 FGF7 ENSG00000140285 KCNK16 ENSG00000095981 ABCC8 ENSG00000006071 ENSG00000277737 PROM1 ENSG00000007062 KIR2DL5A ENSG00000274143 OR2T7 ENSG00000227152 MC5R ENSG00000176136 MSANTD3-TMEFF1 ENSG00000251349 TMEM179 ENSG00000276342 OR52W1 ENSG00000175485 TREML1 ENSG00000161911 OR9K2 ENSG00000170605 GJB5 ENSG00000189280 UST ENSG00000111962 MC1R ENSG00000258839 TMC5 ENSG00000103534 NDUFB6 ENSG00000165264 BVES ENSG00000112276 KIR3DL1 ENSG00000275545 MEP1A ENSG00000112818 TEX38 ENSG00000186118 TARM1 ENSG00000274889 SLC24A2 ENSG00000155886 HVCN1 ENSG00000122986 THBD ENSG00000178726 KIR3DL2 ENSG00000278403 GLRA4 ENSG00000188828 COX4I1 ENSG00000131143 TMEM39B ENSG00000121775 DEFB103A ENSG00000273641 S1PR5 ENSG00000180739 DEFB103B ENSG00000273641 OR5J2 ENSG00000174957 LY6G6F ENSG00000240008 HAUS2 ENSG00000137814 ENSG00000273822 SLC44A4 ENSG00000231479 FXYD4 ENSG00000150201 C4orf3 ENSG00000164096 TMEM258 ENSG00000134825 TAAR2 ENSG00000146378 PCDHB13 ENSG00000187372 KREMEN1 ENSG00000183762 STOML1 ENSG00000067221 SLC27A1 ENSG00000130304 CSF2RA ENSG00000198223 MAS1 ENSG00000130368 RBM3 ENSG00000102317 NDUFA3 ENSG00000276766 UGT1A7 ENSG00000244122 ENSG00000250349 SSMEM1 ENSG00000165120 TMEM194A ENSG00000166881 GRID2 ENSG00000152208 OR2T2 ENSG00000196240 ARHGAP1 ENSG00000175220 GPR126 ENSG00000112414 PCGF3 ENSG00000185619 ENSG00000272104 FRMD5 ENSG00000171877 RDM1 ENSG00000278023 SLC12A7 ENSG00000276482 SLC6A3 ENSG00000276996 TNFRSF18 ENSG00000186891 OR9Q2 ENSG00000186513 AXL ENSG00000167601 HLA-E ENSG00000236632 ZNF286A ENSG00000187607 SLC6A18 ENSG00000164363 SLC27A3 ENSG00000263163 TMEM230 ENSG00000089063 PTDSS2 ENSG00000174915 DKKL1 ENSG00000104901 MANEA ENSG00000172469 MTHFD1 ENSG00000100714 CACNA1G ENSG00000006283 ALG10B ENSG00000175548 SLC12A8 ENSG00000221955 TRAC ENSG00000277734 LY75 ENSG00000054219 CCR2 ENSG00000121807 CYB561D1 ENSG00000174151 KIR3DL2 ENSG00000278726 ZDHHC23 ENSG00000184307 TMEM158 ENSG00000249992 FAM47E-STBD1 ENSG00000118804 GRM4 ENSG00000124493 HLA-G ENSG00000230413 PON2 ENSG00000105854 CRB1 ENSG00000134376 ELANE ENSG00000277571 MARVELD2 ENSG00000274671 CYYR1 ENSG00000166265 FAS ENSG00000026103 TPST1 ENSG00000169902 PRRG1 ENSG00000130962 TMPRSS6 ENSG00000187045 SYT9 ENSG00000170743 LILRB1 ENSG00000274669 KLRF2 ENSG00000256797 OR2H1 ENSG00000204688 USMG5 ENSG00000173915 ENSG00000278563 SLC17A2 ENSG00000112337 HAVCR1 ENSG00000113249 CR2 ENSG00000117322 OR2D3 ENSG00000178358 ZNRF3 ENSG00000183579 VSIG2 ENSG00000019102 GP6 ENSG00000276065 NLGN2 ENSG00000169992 OR2H1 ENSG00000206471 FGFRL1 ENSG00000127418 LRMP ENSG00000118308 ENSG00000237962 UGT1A3 ENSG00000243135 CYP19A1 ENSG00000137869 SCARA5 ENSG00000168079 AGPAT4 ENSG00000026652 LRRTM1 ENSG00000162951 EDNRB ENSG00000136160 SEMA4C ENSG00000168758 WNT3 ENSG00000277626 B3GNT7 ENSG00000156966 SLC25A53 ENSG00000269743 KIR2DS2 ENSG00000274518 MARCH1 ENSG00000145416 TMEM184A ENSG00000164855 HLA-DQB1 ENSG00000233209 ADCY8 ENSG00000155897 CD37 ENSG00000104894 POPDC3 ENSG00000132429 UXS1 ENSG00000115652 B4GALT5 ENSG00000158470 IFITM1 ENSG00000185885 TAS2R7 ENSG00000274327 PCDHB6 ENSG00000113211 C14orf180 ENSG00000274126 ENSG00000275621 LRFN3 ENSG00000126243 OR2J2 ENSG00000225550 OR5L1 ENSG00000279395 PCDHB14 ENSG00000120327 TMEM61 ENSG00000143001 GPER1 ENSG00000164850 FCRLA ENSG00000132185 IFITM2 ENSG00000185201 OR10AG1 ENSG00000174970 COL17A1 ENSG00000065618 GALNT9 ENSG00000182870 HIGD2B ENSG00000175202 KIAA1715 ENSG00000144320 CXCL8 ENSG00000169429 DEFB4B ENSG00000177257 OR2J2 ENSG00000232945 OR13A1 ENSG00000256574 PARP16 ENSG00000138617 SLC19A2 ENSG00000117479 ARHGAP36 ENSG00000147256 HCN2 ENSG00000099822 LMF1 ENSG00000103227 SFXN2 ENSG00000156398 DHCR7 ENSG00000172893 PRRT1 ENSG00000235956 KIR2DL4 ENSG00000277750 HAS2 ENSG00000170961 GP6 ENSG00000274566 DAGLA ENSG00000134780 LRP3 ENSG00000130881 EMP2 ENSG00000213853 VN1R1 ENSG00000178201 CATSPERD ENSG00000174898 RTN1 ENSG00000139970 SLC25A43 ENSG00000077713 OR2T3 ENSG00000196539 CLCN1 ENSG00000188037 MALL ENSG00000144063 TAS2R42 ENSG00000273505 NRSN1 ENSG00000152954 MGAT4A ENSG00000071073 TNFRSF4 ENSG00000186827 SYT11 ENSG00000132718 AGPAT1 ENSG00000235758 ELFN1 ENSG00000225968 FAT4 ENSG00000196159 TMEM31 ENSG00000179363 ABHD16A ENSG00000235676 GCLC ENSG00000001084 SELL ENSG00000188404 ENSG00000280174 ENSG00000279988 NRM ENSG00000228867 OSMR ENSG00000145623 OCEL1 ENSG00000099330 HLA-G ENSG00000235680 TMEM38A ENSG00000072954 VSTM5 ENSG00000214376 PDGFRB ENSG00000113721 SVOP ENSG00000166111 CYP7B1 ENSG00000172817 ENSG00000279909 PCDHB5 ENSG00000113209 NCSTN ENSG00000162736 TAPT1 ENSG00000169762 MMEL1 ENSG00000277131 MBOAT7 ENSG00000277733 TRGC2 ENSG00000227191 C6orf25 ENSG00000230060 TMTC3 ENSG00000139324 KIR3DL1 ENSG00000276423 IFNK ENSG00000147896 NXPE4 ENSG00000137634 CDHR5 ENSG00000273572 GALNT10 ENSG00000164574 OR5R1 ENSG00000279961 SLC8A3 ENSG00000100678 LY6G6C ENSG00000236183 KIR2DS1 ENSG00000278120 KCNV1 ENSG00000164794 SYNGR1 ENSG00000100321 ENPP5 ENSG00000112796 SEMA4G ENSG00000095539 FAT2 ENSG00000086570 TMEM119 ENSG00000183160 VSIG4 ENSG00000155659 TM4SF18 ENSG00000163762 GCNT2 ENSG00000111846 TMEM65 ENSG00000164983 C6orf25 ENSG00000204420 VSTM1 ENSG00000275577 QSOX2 ENSG00000165661 TMEM38B ENSG00000095209 TVP23A ENSG00000166676 HLA-DRA ENSG00000226260 KIR2DL4 ENSG00000276979 PM20D1 ENSG00000162877 OR4K1 ENSG00000155249 BMP10 ENSG00000163217 GALR3 ENSG00000128310 MUC4 ENSG00000145113 OR4D11 ENSG00000176200 RHBDD1 ENSG00000144468 ANTXR2 ENSG00000163297 CATSPER3 ENSG00000152705 HERC4 ENSG00000148634 ADCYAP1R1 ENSG00000078549 TMCO2 ENSG00000188800 SERINC5 ENSG00000164300 B3GNT5 ENSG00000176597 ENSG00000276825 PTPRU ENSG00000060656 MYADM ENSG00000179820 OR1S2 ENSG00000197887 ST6GAL1 ENSG00000073849 EMC6 ENSG00000127774 GXYLT1 ENSG00000151233 OR5M9 ENSG00000150269 YIPF1 ENSG00000058799 PCDHB16 ENSG00000272674 STXBP2 ENSG00000076944 NCR1 ENSG00000275156 OR52E4 ENSG00000180974 TLR3 ENSG00000164342 NXPE2 ENSG00000204361 PLA2G16 ENSG00000176485 MLF2 ENSG00000089693 ITGA4 ENSG00000115232 GABRE ENSG00000102287 IGDCC4 ENSG00000103742 MGAT3 ENSG00000128268 C1orf185 ENSG00000204006 SLC7A10 ENSG00000130876 HCRTR1 ENSG00000121764 CYP20A1 ENSG00000119004 CHRNE ENSG00000108556 OR2T29 ENSG00000182783 OR2T5 ENSG00000203661 FITM2 ENSG00000197296 ZDHHC1 ENSG00000159714 OR2J1 ENSG00000204702 MLANA ENSG00000120215 UGT1A1 ENSG00000242366 PCDHB9 ENSG00000177839 SSR3 ENSG00000114850 OPN5 ENSG00000124818 OR2J3 ENSG00000204701 HLA-DQA1 ENSG00000206305 OR8K3 ENSG00000280314 GABRG1 ENSG00000163285 ANTXR1 ENSG00000169604 TSPAN19 ENSG00000231738 IL27 ENSG00000197272 SLC35A2 ENSG00000102100 VSTM1 ENSG00000277607 GRIN3A ENSG00000198785 GPR20 ENSG00000275181 OR2B3 ENSG00000204703 VSTM1 ENSG00000276159 ST3GAL2 ENSG00000157350 ALG10 ENSG00000139133 OR51I2 ENSG00000187918 HLA-DQB2 ENSG00000230675 FRAS1 ENSG00000138759 SERINC4 ENSG00000184716 ENTPD3 ENSG00000168032 GUCA2A ENSG00000197273 SLC6A15 ENSG00000072041 SPNS1 ENSG00000169682 KIR2DL4 ENSG00000189013 KIR2DL2 ENSG00000276731 CST11 ENSG00000125831 SLC35B4 ENSG00000205060 GPR31 ENSG00000120436 NTF3 ENSG00000185652 TMEM243 ENSG00000135185 NALCN ENSG00000102452 SLC39A6 ENSG00000141424 FAM24B ENSG00000213185 C5AR2 ENSG00000134830 GPR119 ENSG00000147262 SNRNP40 ENSG00000060688 LRFN1 ENSG00000128011 OR6B2 ENSG00000182083 MFSD12 ENSG00000161091 CCDC90B ENSG00000137500 FCAR ENSG00000275269 OR2G6 ENSG00000188558 NMUR1 ENSG00000171596 TMC4 ENSG00000167608 SLC17A4 ENSG00000146039 CPM ENSG00000135678 KDELR3 ENSG00000100196 PTCHD3 ENSG00000276595 CD247 ENSG00000198821 SYNGR4 ENSG00000105467 TMEM211 ENSG00000206069 ST8SIA5 ENSG00000101638 NPPA ENSG00000175206 METTL15 ENSG00000169519 OR52B6 ENSG00000187747 SUN1 ENSG00000164828 RDH14 ENSG00000240857 SLC26A10 ENSG00000135502 CD5 ENSG00000110448 IL17D ENSG00000172458 KIR2DL4 ENSG00000275699 KLK1 ENSG00000167748 CUZD1 ENSG00000138161 MS4A4E ENSG00000214787 TSPAN15 ENSG00000099282 SORCS1 ENSG00000108018 TENM3 ENSG00000218336 SLC12A9 ENSG00000146828 COX8C ENSG00000187581 COQ2 ENSG00000173085 GPR20 ENSG00000204882 OR51B4 ENSG00000183251 OR2T10 ENSG00000184022 SLC5A3 ENSG00000198743 OR5B3 ENSG00000172769 KCNQ1 ENSG00000053918 ACSS3 ENSG00000111058 PPT2 ENSG00000231618 OR5B2 ENSG00000172365 CYP4F11 ENSG00000171903 OR5M10 ENSG00000254834 EPHB6 ENSG00000106123 KEL ENSG00000197993 IFNAR1 ENSG00000142166 C8B ENSG00000021852 TMEM78 ENSG00000177800 PTGS1 ENSG00000095303 TLR2 ENSG00000137462 ZPBP ENSG00000042813 ENSG00000277361 REEP6 ENSG00000115255 MIP ENSG00000135517 GLCCI1 ENSG00000106415 NPHP4 ENSG00000131697 DEFB105B ENSG00000186599 OR2T34 ENSG00000183310 IGFL1 ENSG00000188293 CD163L1 ENSG00000177675 ADAM32 ENSG00000197140 RCE1 ENSG00000173653 KIRREL3 ENSG00000149571 ENSG00000262535 C6orf10 ENSG00000206245 OR9G1 ENSG00000174914 OR2T1 ENSG00000273508 VSTM1 ENSG00000275330 RNASE4 ENSG00000258818 FZD9 ENSG00000188763 EDEM1 ENSG00000134109 B3GNT3 ENSG00000179913 NDUFB3 ENSG00000119013 OR2J2 ENSG00000231676 PLD4 ENSG00000166428 GALNT16 ENSG00000100626 SEC22A ENSG00000121542 WFDC11 ENSG00000180083 OR6C2 ENSG00000179695 RAD51B ENSG00000182185 OR6C4 ENSG00000179626 ANKRD22 ENSG00000152766 SPATA31A6 ENSG00000185775 TRPM1 ENSG00000274965 LRRC4B ENSG00000131409 MCTP2 ENSG00000140563 OR5B12 ENSG00000172362 ABCB1 ENSG00000085563 ENSG00000280316 BCS1L ENSG00000074582 LNPEP ENSG00000113441 UGT2A3 ENSG00000135220 TRGC1 ENSG00000211689 ACVR2B ENSG00000114739 SMIM18 ENSG00000253457 KIR3DL3 ENSG00000275513 TSPAN31 ENSG00000135452 C1GALT1C1 ENSG00000171155 OR2T11 ENSG00000279301 TSPAN5 ENSG00000168785 OPRD1 ENSG00000116329 OR51B5 ENSG00000242180 VSTM1 ENSG00000189068 UTS2B ENSG00000188958 OR2T35 ENSG00000177151 CHRM5 ENSG00000184984 NMU ENSG00000109255 UNC50 ENSG00000115446 ADCY3 ENSG00000138031 OR5M11 ENSG00000255223 ENSG00000259171 MICA ENSG00000204520 ENSG00000273984 SCFD1 ENSG00000092108 HLA-DRB1 ENSG00000236884 ENSG00000277065 HLA-DRB4 ENSG00000231021 DYNAP ENSG00000178690 MPC1 ENSG00000060762 TMC4 ENSG00000274905 CTDNEP1 ENSG00000175826 TMEM53 ENSG00000126106 LRCH3 ENSG00000186001 DAK ENSG00000149476 SIGLEC1 ENSG00000088827 C1orf210 ENSG00000253313 RBFOX3 ENSG00000167281 THSD4 ENSG00000187720 KCNA4 ENSG00000182255 OR1A1 ENSG00000172146 DAG1 ENSG00000173402 KIR3DS1 ENSG00000275608 DENND5B ENSG00000170456 RDM1 ENSG00000276432 GABRB2 ENSG00000145864 SURF4 ENSG00000148248 ANK1 ENSG00000029534 MEGF11 ENSG00000157890 ZP4 ENSG00000116996 FAM213A ENSG00000122378 KIR3DL3 ENSG00000276806 RNF148 ENSG00000235631 SLC12A5 ENSG00000124140 ENSG00000278088 DLL1 ENSG00000275555 TEDDM1 ENSG00000203730 CELSR1 ENSG00000075275 KIR2DL4 ENSG00000276779 PCDHB8 ENSG00000120322 CYP2D6 ENSG00000100197 CS ENSG00000062485 GUSB ENSG00000169919 TMC2 ENSG00000149488 DGAT2 ENSG00000062282 B3GALNT1 ENSG00000169255 ANG ENSG00000214274 SLC17A3 ENSG00000124564 WFIKKN2 ENSG00000173714 RHOT1 ENSG00000126858 NDUFA3 ENSG00000170906 OR2T27 ENSG00000187701 TMCO5A ENSG00000166069 DTD1 ENSG00000125821 GPR146 ENSG00000164849 TMEM127 ENSG00000135956 ST14 ENSG00000149418 CLEC2A ENSG00000188393 OR2H1 ENSG00000206516 HLA-DPB1 ENSG00000230763 ENSG00000277106 ADAMTS4 ENSG00000158859 HLA-DOA ENSG00000230141 ATP2C1 ENSG00000017260 DERL3 ENSG00000274437 ENTPD4 ENSG00000197217 TMEFF2 ENSG00000144339 MARCH9 ENSG00000139266 LY6G5C ENSG00000206404 ENSG00000228144 IGSF3 ENSG00000143061 TMED3 ENSG00000166557 APOLD1 ENSG00000178878 ENSG00000227506 EDAR ENSG00000135960 DBH ENSG00000123454 TARM1 ENSG00000277178 TMEM257 ENSG00000221870 SLC22A12 ENSG00000197891 TSPAN1 ENSG00000117472 SLC24A3 ENSG00000185052 ENSG00000276469 SCN7A ENSG00000136546 CLEC9A ENSG00000197992 SLC5A7 ENSG00000115665 STRA6 ENSG00000137868 CLDN15 ENSG00000106404 KIR3DL2 ENSG00000276357 TTYH1 ENSG00000275650 LPAR1 ENSG00000198121 ABCC5 ENSG00000114770 CD82 ENSG00000085117 BTNL2 ENSG00000224770 SEC22B ENSG00000265808 ICAM5 ENSG00000105376 NDUFA3 ENSG00000273642 KCNS2 ENSG00000156486 GPM6A ENSG00000150625 CHST3 ENSG00000122863 NCR1 ENSG00000277824 HLA-DRB4 ENSG00000227357 TEX261 ENSG00000144043 KIR2DS2 ENSG00000274438 ADAM29 ENSG00000168594 MS4A10 ENSG00000172689 NCR1 ENSG00000273535 NT5E ENSG00000135318 SMCO4 ENSG00000166002 SLC41A2 ENSG00000136052 TMEM200C ENSG00000206432 OR6C70 ENSG00000184954 TMTC4 ENSG00000125247 MAN1B1 ENSG00000177239 SLCO2A1 ENSG00000174640 TEK ENSG00000120156 OR5M3 ENSG00000174937 OR2AP1 ENSG00000179615 KIR3DL1 ENSG00000273775 DENND1B ENSG00000213047 TARM1 ENSG00000273875 TOMM70A ENSG00000154174 OR9G4 ENSG00000172457 CLIP4 ENSG00000115295 RNF5 ENSG00000227277 ERLIN1 ENSG00000107566 HHAT ENSG00000054392 MICA ENSG00000183214 KIR3DL1 ENSG00000278368 C16orf54 ENSG00000185905 TBC1D7 ENSG00000145979 CDON ENSG00000064309 CHST1 ENSG00000175264 SLC35B3 ENSG00000124786 CES3 ENSG00000172828 TMPRSS9 ENSG00000178297 GRAMD2 ENSG00000175318 CLDN24 ENSG00000185758 PCDHB2 ENSG00000112852 SLC9A1 ENSG00000090020 OR14J1 ENSG00000234195 FCRL3 ENSG00000160856 TIMM22 ENSG00000278501 TMEM234 ENSG00000160055 MPL ENSG00000117400 SLC11A2 ENSG00000110911 ADIG ENSG00000182035 TMEM138 ENSG00000149483 MAG ENSG00000105695 TMPRSS13 ENSG00000137747 SLC45A4 ENSG00000022567 XK ENSG00000047597 GP6 ENSG00000276211 CCDC141 ENSG00000163492 GPR107 ENSG00000148358 OR51E1 ENSG00000180785 HLA-DMA ENSG00000241394 ALG11 ENSG00000253710 CHST4 ENSG00000140835 MINOS1 ENSG00000173436 SMPD3 ENSG00000103056 ENSG00000234469 CD164L2 ENSG00000174950 SLC4A7 ENSG00000033867 ADAM22 ENSG00000008277 KIR3DL3 ENSG00000276930 ZMPSTE24 ENSG00000084073 FSHR ENSG00000170820 OR14J1 ENSG00000234100 CHRM2 ENSG00000181072 TMEM255A ENSG00000125355 OR6B3 ENSG00000178586 TMEM81 ENSG00000174529 HLA-DQA2 ENSG00000206301 NPTXR ENSG00000221890 SUSD5 ENSG00000173705 CHRNA7 ENSG00000274542 OR2F2 ENSG00000221910 TM6SF2 ENSG00000213996 GABBR1 ENSG00000206466 CD248 ENSG00000174807 MLLT10 ENSG00000078403 AGER ENSG00000231268 CGRRF1 ENSG00000100532 ACP1 ENSG00000143727 GZMK ENSG00000113088 SLAMF1 ENSG00000117090 OR14I1 ENSG00000189181 MOG ENSG00000237834 RPRM ENSG00000177519 TMEM242 ENSG00000215712 PTGER2 ENSG00000125384 IGHG1 ENSG00000211896 UQCC3 ENSG00000204922 UGT1A8 ENSG00000241635 SLC22A2 ENSG00000112499 CD300LG ENSG00000161649 OR2T6 ENSG00000278659 HLA-DQB1 ENSG00000231286 CDIP1 ENSG00000274336 TMPPE ENSG00000188167 SLC4A10 ENSG00000144290 AGTR2 ENSG00000180772 CHRNA6 ENSG00000147434 KCNK6 ENSG00000099337 C1GALT1 ENSG00000106392 SMIM8 ENSG00000111850 VRK1 ENSG00000100749 LRTM2 ENSG00000166159 SERP2 ENSG00000151778 IL10RB ENSG00000243646 MAGT1 ENSG00000102158 ITGA3 ENSG00000005884 TRPV6 ENSG00000276971 B4GALNT1 ENSG00000135454 MTNR1A ENSG00000168412 ABCD4 ENSG00000119688 CNST ENSG00000162852 LPCAT2 ENSG00000087253 ENSG00000276539 CYP4V2 ENSG00000145476 FAM173A ENSG00000103254 RTP1 ENSG00000175077 SEZ6L ENSG00000100095 TMEM120A ENSG00000189077 GRIK2 ENSG00000164418 NTRK1 ENSG00000198400 CYBB ENSG00000165168 TMEM185B ENSG00000226479 C5orf46 ENSG00000178776 OR4C12 ENSG00000221954 MAGEH1 ENSG00000187601 RHBDD2 ENSG00000005486 MYRFL ENSG00000166268 ANTXRL ENSG00000274209 PIGN ENSG00000197563 RNF5 ENSG00000225452 OR6C68 ENSG00000205327 KIR2DL3 ENSG00000243772 NCR3 ENSG00000223833 GJB7 ENSG00000164411 TMC4 ENSG00000276260 C1orf233 ENSG00000228594 CHRNA5 ENSG00000169684 RNF144B ENSG00000137393 SLC26A7 ENSG00000147606 WBP1 ENSG00000239779 NDUFA3 ENSG00000274359 CCL4L1 ENSG00000276125 GHITM ENSG00000165678 CCL4L2 ENSG00000276125 HCN3 ENSG00000143630 KEL ENSG00000276615 LRAT ENSG00000121207 SLC26A3 ENSG00000091138 SRP14 ENSG00000140319 MINOS1-NBL1 ENSG00000270136 ZNF559-ZNF177 ENSG00000270011 TRPV4 ENSG00000111199 RGS9BP ENSG00000186326 TBXA2R ENSG00000006638 GABRA6 ENSG00000145863 KCNA1 ENSG00000111262 CAV2 ENSG00000105971 RNF122 ENSG00000133874 ERMAP ENSG00000164010 SLC17A6 ENSG00000091664 EXD2 ENSG00000081177 C2orf40 ENSG00000119147 OR2K2 ENSG00000171133 LRCOL1 ENSG00000204583 SYT12 ENSG00000173227 UGT1A10 ENSG00000242515 MUC21 ENSG00000204544 SLC9A7 ENSG00000065923 C16orf52 ENSG00000185716 MANBAL ENSG00000101363 GP6 ENSG00000277439 HAPLN4 ENSG00000187664 RGSL1 ENSG00000121446 TMEM261 ENSG00000137038 ILDR1 ENSG00000145103 HLA-DMB ENSG00000226264 CXCR4 ENSG00000121966 LTB ENSG00000236925 CEACAM20 ENSG00000273777 TMEM185A ENSG00000269556 WBSCR17 ENSG00000185274 TMBIM4 ENSG00000155957 ARMCX2 ENSG00000184867 PCDHB10 ENSG00000120324 STARD3NL ENSG00000010270 HLA-DMA ENSG00000204257 ENSG00000274332 NTN4 ENSG00000074527 KIR3DL1 ENSG00000275659 CD48 ENSG00000117091 LY6G6C ENSG00000204421 NFAT5 ENSG00000102908 FJX1 ENSG00000179431 LRRC25 ENSG00000175489 SELE ENSG00000007908 LY6G6E ENSG00000255552 MSLN ENSG00000102854 LTB4R ENSG00000213903 SLC2A11 ENSG00000133460 SLC3A1 ENSG00000138079 HM13 ENSG00000101294 KIAA0247 ENSG00000100647 IFI27L1 ENSG00000276880 BFAR ENSG00000275618 COL4A2 ENSG00000134871 INSL3 ENSG00000248099 INSRR ENSG00000027644 LINC00493 ENSG00000232388 TP53I13 ENSG00000167543 ADPGK ENSG00000159322 TNMD ENSG00000000005 IL10RA ENSG00000110324 SERF1A ENSG00000277429 ATRIP ENSG00000164053 SERF1B ENSG00000277429 LY6G6F ENSG00000204424 PTCHD1 ENSG00000165186 SLC16A4 ENSG00000168679 KIR2DL3 ENSG00000277317 WNT3 ENSG00000277641 ABO ENSG00000175164 FATE1 ENSG00000147378 WNT9B ENSG00000276799 MAS1L ENSG00000206470 GOLT1A ENSG00000174567 OR10A7 ENSG00000179919 HLA-DQB1 ENSG00000231939 OR6C74 ENSG00000197706 GYLTL1B ENSG00000165905 MAL2 ENSG00000147676 OCA2 ENSG00000104044 RXFP3 ENSG00000277069 HLA-C ENSG00000206435 KIR3DL3 ENSG00000274480 ENSG00000168824 IFNAR2 ENSG00000159110 CHRNB2 ENSG00000160716 KIR2DL4 ENSG00000276044 HLA-F ENSG00000137403 STX10 ENSG00000104915 CD164 ENSG00000135535 PTPRN ENSG00000054356 TMIGD2 ENSG00000167664 KCNJ11 ENSG00000187486 GLB1 ENSG00000170266 LST1 ENSG00000230791 IL1RAPL1 ENSG00000169306 PIGH ENSG00000100564 TREX1 ENSG00000213689 HLA-DQA1 ENSG00000236418 TAS2R13 ENSG00000277254 FFAR2 ENSG00000126262 CD302 ENSG00000241399 KIR3DL3 ENSG00000277552 SHISA7 ENSG00000187902 SLC1A2 ENSG00000110436 ENSG00000276130 OR52N2 ENSG00000180988 ZP2 ENSG00000103310 GPR52 ENSG00000203737 SUN3 ENSG00000164744 LHFPL5 ENSG00000197753 MOSPD3 ENSG00000106330 TRHR ENSG00000174417 LPHN1 ENSG00000072071 GPR6 ENSG00000146360 SCCPDH ENSG00000143653 TGFBR3L ENSG00000260001 C6orf25 ENSG00000237459 ITGAX ENSG00000140678 MMGT1 ENSG00000169446 SLC37A1 ENSG00000160190 KCTD8 ENSG00000183783 CD69 ENSG00000110848 GABBR1 ENSG00000237051 PQLC1 ENSG00000122490 MPZ ENSG00000158887 ABHD6 ENSG00000163686 LMAN1 ENSG00000074695 UBE2W ENSG00000104343 EPHX4 ENSG00000172031 SIT1 ENSG00000137078 TNFRSF19 ENSG00000127863 PLXNA4 ENSG00000221866 GPRC5B ENSG00000167191 PIGA ENSG00000165195 C2orf82 ENSG00000182600 SLC2A3 ENSG00000059804 ITGA11 ENSG00000137809 KIAA1024 ENSG00000169330 WNT9B ENSG00000158955 TTYH1 ENSG00000276887 TUSC3 ENSG00000104723 PPAP2C ENSG00000141934 TMEM55B ENSG00000165782 UPK3B ENSG00000276184 IFI27 ENSG00000165949 TNFRSF13C ENSG00000159958 GPR35 ENSG00000178623 CYP2R1 ENSG00000186104 ABHD12 ENSG00000100997 OR10G2 ENSG00000255582 ADAM18 ENSG00000168619 TMEM14A ENSG00000096092 VSTM1 ENSG00000274953 ANKRD46 ENSG00000186106 GAL3ST1 ENSG00000128242 LTB ENSG00000236237 FXR1 ENSG00000114416 ST3GAL3 ENSG00000126091 ENSG00000278923 YIPF4 ENSG00000119820 CHRNA3 ENSG00000080644 LRRC66 ENSG00000188993 TMEM108 ENSG00000144868 ADAM32 ENSG00000275594 P2RX7 ENSG00000089041 CATSPERB ENSG00000274338 CDSN ENSG00000137197 KIR2DL1 ENSG00000278755 ABCG8 ENSG00000143921 RNF19A ENSG00000034677 ETNK1 ENSG00000139163 GPR17 ENSG00000144230 GABRQ ENSG00000268089 STARD3 ENSG00000131748 PCDHB4 ENSG00000081818 TMEM110-MUSTN1 ENSG00000248592 CDH10 ENSG00000040731 OR11G2 ENSG00000196832 CLDN8 ENSG00000156284 GALNT1 ENSG00000141429 OR2W1 ENSG00000228977 RARA ENSG00000131759 TSPAN14 ENSG00000108219 FAM162B ENSG00000183807 ERMP1 ENSG00000099219 STAB2 ENSG00000136011 FAM151A ENSG00000162391 CACNA1C ENSG00000151067 PCDHB12 ENSG00000120328 TAS2R5 ENSG00000127366 WNT5A ENSG00000114251 SFXN3 ENSG00000107819 SRD5A3 ENSG00000128039 AGPAT1 ENSG00000227642 LMAN2L ENSG00000114988 HLA-DRA ENSG00000228987 OR2T5 ENSG00000275102 ENSG00000273554 TAAR1 ENSG00000146399 KIR3DS1 ENSG00000275434 NKAIN1 ENSG00000084628 CSPG4 ENSG00000173546 OR52E5 ENSG00000277932 GDI1 ENSG00000203879 CLEC4D ENSG00000166527 OR13C9 ENSG00000136839 TMIE ENSG00000181585 TMEM71 ENSG00000165071 SLC6A14 ENSG00000268104 CYP39A1 ENSG00000146233 DSC2 ENSG00000134755 OR14J1 ENSG00000236927 GPR3 ENSG00000181773 DHRS7B ENSG00000109016 PCDHB15 ENSG00000113248 SLC16A13 ENSG00000174327 ENSG00000198832 DRD2 ENSG00000149295 KCNA7 ENSG00000104848 ARSB ENSG00000113273 OR56B1 ENSG00000181023 HLA-DQA1 ENSG00000228284 TMEM187 ENSG00000177854 FKBP8 ENSG00000105701 DSEL ENSG00000171451 STX18 ENSG00000168818 CLDN7 ENSG00000181885 PDCD1 ENSG00000276977 PSENEN ENSG00000205155 OR5D18 ENSG00000186119 LRRC4C ENSG00000148948 OR5L2 ENSG00000205030 AMIGO3 ENSG00000176020 BAI2 ENSG00000121753 HLA-DMB ENSG00000242574 PCDHGC4 ENSG00000242419 FAM159A ENSG00000182183 PCDHB11 ENSG00000197479 NDST4 ENSG00000138653 GPR110 ENSG00000153292 CXCR2 ENSG00000180871 LRRN1 ENSG00000175928 POTEM ENSG00000187537 UPK3A ENSG00000100373 LRP4 ENSG00000134569 ZDHHC17 ENSG00000186908 KCNH1 ENSG00000143473 CD79A ENSG00000105369 PEX10 ENSG00000157911 NPY ENSG00000122585 GP6 ENSG00000278316 PMCH ENSG00000183395 APELA ENSG00000248329 ERMARD ENSG00000276187 MFAP3 ENSG00000037749 SLC24A4 ENSG00000140090 PIGW ENSG00000277161 KIDINS220 ENSG00000134313 CLCN5 ENSG00000171365 SI ENSG00000090402 CSF2RB ENSG00000100368 VASN ENSG00000274334 TPO ENSG00000115705 MDM1 ENSG00000111554 LRRC8E ENSG00000171017 BRI3 ENSG00000164713 AJAP1 ENSG00000196581 KIR2DS5 ENSG00000275047 GP6 ENSG00000275931 GRAMD3 ENSG00000155324 SLC35E2 ENSG00000215790 MPDU1 ENSG00000129255 KIR2DL1 ENSG00000273510 IL23R ENSG00000162594 PTCHD4 ENSG00000244694 UNC5B ENSG00000107731 ZNF559 ENSG00000188321 REEP4 ENSG00000168476 OR10H1 ENSG00000186723 ANKLE1 ENSG00000160117 GP2 ENSG00000169347 TRAM2 ENSG00000065308 DEFB107B ENSG00000198129 FAM171A2 ENSG00000161682 LY6G5C ENSG00000237495 CCL15 ENSG00000275528 KLHL2 ENSG00000109466 OR52E8 ENSG00000183269 HLA-DPA1 ENSG00000168384 TMBIM1 ENSG00000135926 KIR3DL3 ENSG00000276084 KIR2DL4 ENSG00000273498 MUC13 ENSG00000173702 HSD17B2 ENSG00000086696 KCNK13 ENSG00000152315 GABRA5 ENSG00000186297 MCAM ENSG00000076706 USE1 ENSG00000053501 RNF5 ENSG00000228405 CNGB3 ENSG00000170289 KCNK18 ENSG00000186795 TMEM229B ENSG00000198133 C4orf32 ENSG00000174749 TAP1 ENSG00000227816 TMEM150B ENSG00000180061 SLC24A5 ENSG00000188467 PCDHB1 ENSG00000171815 TARM1 ENSG00000276145 ORMDL3 ENSG00000172057 RNF133 ENSG00000188050 B3GALT4 ENSG00000235155 B3GALT5 ENSG00000183778 KIR2DS1 ENSG00000273603 SLC14A1 ENSG00000141469 OR4X2 ENSG00000172208 POR ENSG00000127948 CD33 ENSG00000105383 C3orf35 ENSG00000198590 OR52N4 ENSG00000181074 OR10C1 ENSG00000235441 CYP4Z1 ENSG00000186160 FAM162A ENSG00000114023 SERF1A ENSG00000275581 DHRS9 ENSG00000073737 SERF1B ENSG00000275581 ZMYND11 ENSG00000015171 C17orf62 ENSG00000178927 SLC7A13 ENSG00000164893 STOM ENSG00000148175 FCGR1B ENSG00000198019 RAET1L ENSG00000155918 LTF ENSG00000012223 FAM73A ENSG00000180488 BST2 ENSG00000130303 NUDC ENSG00000090273 STEAP1B ENSG00000105889 CD1C ENSG00000158481 TMEM30B ENSG00000182107 OR2T5 ENSG00000273827 LILRB5 ENSG00000274311 COL11A2 ENSG00000204248 HMOX2 ENSG00000277424 PKD2L1 ENSG00000107593 OR4Q2 ENSG00000196383 SLC2A10 ENSG00000197496 CHRNA10 ENSG00000129749 OR6V1 ENSG00000277378 TFR2 ENSG00000106327 GLIPR1 ENSG00000139278 SLC28A1 ENSG00000156222 OR10H5 ENSG00000172519 LY6K ENSG00000160886 HLA-E ENSG00000204592 OR12D2 ENSG00000225247 SLC16A2 ENSG00000147100 CHRM3 ENSG00000133019 PRCP ENSG00000137509 ACMSD ENSG00000153086 ABCB8 ENSG00000197150 ELOVL6 ENSG00000170522 LYPLA1 ENSG00000120992 OR11A1 ENSG00000223898 CYP4F2 ENSG00000186115 SMAD2 ENSG00000175387 C11orf24 ENSG00000171067 OMA1 ENSG00000162600 TMEM251 ENSG00000275947 RNF186 ENSG00000178828 VMA21 ENSG00000160131 ENSG00000268400 FAM20B ENSG00000116199 LAPTM4A ENSG00000068697 CLECL1 ENSG00000184293 GRIK4 ENSG00000149403 DMRT2 ENSG00000173253 ATP2B2 ENSG00000157087 CACNA1F ENSG00000102001 SGCB ENSG00000163069 TRBC1 ENSG00000276849 OR10C1 ENSG00000230505 CDHR3 ENSG00000128536 SLC47A1 ENSG00000142494 SLC37A4 ENSG00000137700 ZNF566 ENSG00000186017 LHFP ENSG00000183722 TMPRSS7 ENSG00000176040 ATP4A ENSG00000105675 OR11A1 ENSG00000232289 PEAR1 ENSG00000187800 OR2F1 ENSG00000213215 B4GALT7 ENSG00000027847 OR52N5 ENSG00000181009 SLC5A11 ENSG00000158865 ENSG00000277585 KRTAP19-4 ENSG00000186967 MOG ENSG00000234623 OR52N1 ENSG00000181001 SLC38A4 ENSG00000139209 OR5AS1 ENSG00000181785 FXYD3 ENSG00000089356 ENSG00000273993 RNFT1 ENSG00000189050 LTB4R2 ENSG00000213906 CD1B ENSG00000158485 GPR137 ENSG00000173264 ABCA6 ENSG00000154262 HLA-A ENSG00000224320 VLDLR ENSG00000147852 PCDHB7 ENSG00000113212 OR7E24 ENSG00000237521 DPCR1 ENSG00000232308 ANO2 ENSG00000047617 ATL3 ENSG00000184743 MGAT4B ENSG00000161013 CLCNKB ENSG00000184908 NCR3 ENSG00000204475 CR1 ENSG00000203710 PLP1 ENSG00000123560 M6PR ENSG00000003056 TMEM132C ENSG00000181234 ENG ENSG00000106991 MBTPS2 ENSG00000012174 C10orf128 ENSG00000204161 SLC44A2 ENSG00000129353 LILRB3 ENSG00000277816 CUTA ENSG00000112514 OR12D3 ENSG00000250364 CEACAM4 ENSG00000274131 PRRT1 ENSG00000227122 CHST2 ENSG00000175040 C1orf43 ENSG00000143612 TMC4 ENSG00000277667 GJC1 ENSG00000182963 LST1 ENSG00000204482 DPEP2 ENSG00000167261 ENSG00000277603 ENSG00000274360 B3GALT4 ENSG00000226936 CDH11 ENSG00000140937 BTNL9 ENSG00000165810 ADAM18 ENSG00000278548 PPT2 ENSG00000168452 ELOVL7 ENSG00000164181 TUBD1 ENSG00000108423 GIPR ENSG00000010310 VKORC1L1 ENSG00000196715 CYP4A22 ENSG00000162365 EDDM3B ENSG00000181552 ENSG00000205236 PCDHGA3 ENSG00000254245 UBA6 ENSG00000033178 MYB ENSG00000118513 CDH17 ENSG00000079112 OR6B1 ENSG00000221813 SLC6A7 ENSG00000011083 OR4D9 ENSG00000172742 HTR1A ENSG00000178394 MXRA7 ENSG00000182534 CPT1A ENSG00000110090 CNTNAP4 ENSG00000152910 KIR2DL4 ENSG00000277362 MS4A12 ENSG00000071203 TMEM30A ENSG00000112697 MTDH ENSG00000147649 TSPAN7 ENSG00000156298 OR4K14 ENSG00000169484 NLGN4X ENSG00000146938 LILRB4 ENSG00000276042 CD28 ENSG00000178562 ACER3 ENSG00000078124 CPT1B ENSG00000205560 HLA-F ENSG00000237508 CCDC167 ENSG00000198937 PCDH18 ENSG00000189184 SLC26A9 ENSG00000174502 TMEM167A ENSG00000174695 FUT5 ENSG00000130383 OR3A1 ENSG00000180090 ENTPD2 ENSG00000054179 VSTM4 ENSG00000165633 SLC5A10 ENSG00000154025 ASTN1 ENSG00000152092 OR5V1 ENSG00000227137 OR3A2 ENSG00000221882 TOMM20L ENSG00000196860 CERS1 ENSG00000223802 TMEM25 ENSG00000149582 KLRG2 ENSG00000188883 PGAP1 ENSG00000197121 B3GAT3 ENSG00000149541 TMEM67 ENSG00000164953 XKRX ENSG00000182489 CDH8 ENSG00000150394 LRTM1 ENSG00000144771 KIR3DL1 ENSG00000275288 RYR1 ENSG00000196218 PF4 ENSG00000163737 CLRN1 ENSG00000163646 SLC35E3 ENSG00000175782 TLL1 ENSG00000038295 PGAP2 ENSG00000148985 HIGD1A ENSG00000181061 TGOLN2 ENSG00000152291 LDLR ENSG00000130164 EMD ENSG00000102119 CCL4L1 ENSG00000275313 SPATA9 ENSG00000145757 CCL4L2 ENSG00000275313 MIEF1 ENSG00000100335 ITGAE ENSG00000083457 NPHS2 ENSG00000116218 MAN2A1 ENSG00000112893 MANEAL ENSG00000185090 FAXDC2 ENSG00000170271 GP6 ENSG00000278670 ABCB5 ENSG00000004846 B4GALNT3 ENSG00000139044 ZDHHC20 ENSG00000180776 HLA-B ENSG00000228964 TMCO4 ENSG00000162542 MBTPS1 ENSG00000140943 SLC46A3 ENSG00000139508 OR5P2 ENSG00000183303 PIGF ENSG00000151665 GRIN3B ENSG00000116032 ACSL6 ENSG00000164398 SLC25A5 ENSG00000005022 NDUFA11 ENSG00000174886 OR5P3 ENSG00000182334 PRRT1 ENSG00000204314 ADCY4 ENSG00000129467 OR5M1 ENSG00000255012 ZDHHC6 ENSG00000023041 TIMM22 ENSG00000277649 TMEM175 ENSG00000127419 OR2B3 ENSG00000233687 MSI1 ENSG00000135097 OR2A25 ENSG00000221933 CYP4F3 ENSG00000186529 ATP13A4 ENSG00000127249 PTPRR ENSG00000153233 LY6G6C ENSG00000228250 BEST2 ENSG00000039987 PNPLA6 ENSG00000032444 ANO6 ENSG00000177119 S1PR1 ENSG00000170989 NMBR ENSG00000135577 PRRG4 ENSG00000135378 KIR3DL2 ENSG00000277181 EMCN ENSG00000164035 UGT2B10 ENSG00000275190 NDUFC2 ENSG00000151366 OR1K1 ENSG00000165204 RAMP3 ENSG00000122679 BAI3 ENSG00000135298 SLC1A7 ENSG00000162383 PCDHGC5 ENSG00000240764 PRRG2 ENSG00000126460 UQCR11 ENSG00000127540 SNX13 ENSG00000071189 RER1 ENSG00000157916 KCNE1 ENSG00000180509 PRLHR ENSG00000119973 OR52B4 ENSG00000221996 SLC7A2 ENSG00000003989 TSPAN33 ENSG00000158457 MOG ENSG00000230885 FCRL2 ENSG00000132704 ENSG00000273526 DNAJC30 ENSG00000176410 KIR3DL2 ENSG00000275083 ATP5G1 ENSG00000159199 KIR3DL3 ENSG00000274696 CTXN1 ENSG00000178531 RHBDL1 ENSG00000103269 OR1J1 ENSG00000136834 VIMP ENSG00000131871 PANX2 ENSG00000073150 SLITRK1 ENSG00000178235 ABHD16A ENSG00000231488 CHIC1 ENSG00000204116 EFNB1 ENSG00000090776 LDLRAD3 ENSG00000179241 HLA-A ENSG00000227715 DAPL1 ENSG00000163331 PTH2 ENSG00000142538 TMPO ENSG00000120802 HLA-C ENSG00000228299 PCNXL3 ENSG00000197136 FXYD2 ENSG00000137731 SERINC2 ENSG00000168528 FNDC4 ENSG00000115226 ABCB10 ENSG00000135776 ADCK5 ENSG00000173137 EPHB4 ENSG00000196411 UQCR11 ENSG00000267059 CCDC67 ENSG00000165325 C16orf91 ENSG00000174109 GLTPD2 ENSG00000182327 SLC6A2 ENSG00000103546 IL1RAPL2 ENSG00000189108 ENSG00000278468 TNFRSF10D ENSG00000173530 FCER1G ENSG00000158869 PEX11A ENSG00000166821 OR2H2 ENSG00000229680 FTHL17 ENSG00000132446 TMPRSS11A ENSG00000187054 ENSG00000260234 DEFB107A ENSG00000277530 DIO2 ENSG00000211448 DEFB107B ENSG00000277530 GDPD1 ENSG00000153982 HHATL ENSG00000010282 CEP170 ENSG00000143702 METTL21A ENSG00000144401 PLA2G2E ENSG00000188784 STRBP ENSG00000165209 PRIMA1 ENSG00000274089 ZNRF4 ENSG00000105428 TMEM259 ENSG00000182087 XKR3 ENSG00000172967 TMEM181 ENSG00000146433 CSF1R ENSG00000182578 PIGU ENSG00000101464 LILRB5 ENSG00000105609 MBOAT7 ENSG00000278519 MTFP1 ENSG00000242114 TM2D2 ENSG00000169490 B4GALT2 ENSG00000117411 KIR2DS2 ENSG00000275583 OR13H1 ENSG00000171054 LTB ENSG00000204487 KIR2DL1 ENSG00000277356 LRRC3B ENSG00000179796 TM9SF2 ENSG00000125304 OR8K1 ENSG00000150261 TNFRSF10B ENSG00000120889 ZNF7 ENSG00000147789 SAMD8 ENSG00000156671 SRD5A2 ENSG00000277893 AGPAT1 ENSG00000204310 LRRC3C ENSG00000204913 ECEL1 ENSG00000171551 HLA-DQB2 ENSG00000226165 STX1A ENSG00000106089 LRRC52 ENSG00000162763 STYK1 ENSG00000060140 CYP2D6 ENSG00000275211 FZD7 ENSG00000155760 KIR3DL1 ENSG00000278079 OR5AC2 ENSG00000196578 KHDC1 ENSG00000135314 HLA-DMB ENSG00000242386 S1PR3 ENSG00000213694 OR11H6 ENSG00000176219 BTN3A1 ENSG00000026950 LETM2 ENSG00000165046 DOLPP1 ENSG00000167130 OR11A1 ENSG00000237258 NOX5 ENSG00000255346 EI24 ENSG00000149547 GRINA ENSG00000178719 C4orf26 ENSG00000174792 BANP ENSG00000172530 RELT ENSG00000054967 PCDHGB2 ENSG00000253910 ENSG00000267740 MEGF8 ENSG00000105429 SLC39A7 ENSG00000226614 ESAM ENSG00000149564 PCDHGB6 ENSG00000253305 HBS1L ENSG00000112339 TMEM50A ENSG00000183726 AGER ENSG00000206320 CYP4F8 ENSG00000186526 WNT1 ENSG00000125084 SLC26A4 ENSG00000091137 OR1E2 ENSG00000127780 ENSG00000279018 LRRC70 ENSG00000186105 AWAT2 ENSG00000147160 DIO1 ENSG00000211452 VAMP7 ENSG00000124333 OR1I1 ENSG00000094661 TMEM150A ENSG00000168890 MUC22 ENSG00000261272 KCNF1 ENSG00000162975 TMEM42 ENSG00000169964 LDHC ENSG00000166796 HS6ST3 ENSG00000185352 SLC35F5 ENSG00000115084 PLIN1 ENSG00000166819 NDUFC2-KCTD14 ENSG00000259112 ADRA1A ENSG00000120907 CELF4 ENSG00000101489 ETV6 ENSG00000139083 OR12D3 ENSG00000224487 SSTR5 ENSG00000162009 PCDHGA4 ENSG00000262576 ST3GAL6 ENSG00000064225 HEPH ENSG00000089472 OCLN ENSG00000273814 GFY ENSG00000261949 PPP1R3F ENSG00000049769 EVA1A ENSG00000115363 ENSG00000273564 JKAMP ENSG00000050130 GSG1L ENSG00000169181 OR4K2 ENSG00000165762 RNASE1 ENSG00000129538 KIR2DL1 ENSG00000274782 HTR3D ENSG00000186090 LRIG2 ENSG00000198799 STAB1 ENSG00000010327 TTYH2 ENSG00000141540 SMDT1 ENSG00000274112 NAALAD2 ENSG00000077616 TNFRSF10C ENSG00000173535 CXCR1 ENSG00000163464 ATCAY ENSG00000167654 PLB1 ENSG00000163803 B3GNT4 ENSG00000176383 ITSN1 ENSG00000205726 CD63 ENSG00000135404 LTA ENSG00000238130 WISP1 ENSG00000104415 ASIC5 ENSG00000256394 CEPT1 ENSG00000134255 TMEM37 ENSG00000171227 OR12D2 ENSG00000233481 DUSP13 ENSG00000079393 LILRB3 ENSG00000274587 OR6C6 ENSG00000188324 ACVR2A ENSG00000121989 GABRB3 ENSG00000166206 IMPG2 ENSG00000081148 KL ENSG00000133116 TMEM43 ENSG00000170876 PTGES ENSG00000148344 TMEM192 ENSG00000170088 OR4K13 ENSG00000176253 TMEM170B ENSG00000205269 ANO7 ENSG00000146205 CDH2 ENSG00000170558 OR10C1 ENSG00000232397 MPZL2 ENSG00000149573 SLC38A1 ENSG00000111371 OR5V1 ENSG00000243441 LSMEM2 ENSG00000179564 CD97 ENSG00000123146 MUC16 ENSG00000181143 SLC13A1 ENSG00000081800 COX8A ENSG00000176340 FRRS1L ENSG00000260230 HRH3 ENSG00000101180 IFNE ENSG00000184995 KCNE2 ENSG00000159197 PCDHGB1 ENSG00000254221 IL13 ENSG00000169194 OR2J1 ENSG00000226931 CEACAM3 ENSG00000170956 TENM1 ENSG00000009694 ADRA2C ENSG00000184160 SSTR3 ENSG00000278195 LMO7 ENSG00000136153 BCL2L13 ENSG00000099968 KIR2DL3 ENSG00000277484 TMEM88 ENSG00000167874 TNFRSF13B ENSG00000240505 SLC9A9 ENSG00000181804 GP6 ENSG00000274050 ROMO1 ENSG00000125995 SERPINB13 ENSG00000197641 PPT2 ENSG00000236649 TMEM204 ENSG00000131634 OR5H1 ENSG00000231192 NCR2 ENSG00000096264 OR9A2 ENSG00000273914 MUL1 ENSG00000090432 ADCY9 ENSG00000162104 PLAUR ENSG00000011422 SEMA6A ENSG00000092421 NDUFA3 ENSG00000275724 SLC39A7 ENSG00000206288 C17orf80 ENSG00000141219 SLC38A3 ENSG00000188338 TMED2 ENSG00000086598 GSG1 ENSG00000111305 KCNQ4 ENSG00000117013 VAMP4 ENSG00000117533 NPR3 ENSG00000113389 ATP13A5 ENSG00000187527 RNF183 ENSG00000165188 OR14J1 ENSG00000225291 NCR1 ENSG00000275822 TMEM106B ENSG00000106460 ARSH ENSG00000205667 OR14J1 ENSG00000237777 SCN9A ENSG00000169432 TENM4 ENSG00000149256 TMEM247 ENSG00000187600 UGT2B15 ENSG00000196620 SCUBE2 ENSG00000175356 LTA ENSG00000226979 ORMDL1 ENSG00000128699 ZDHHC15 ENSG00000102383 CHODL ENSG00000154645 SMIM9 ENSG00000203870 TSPO ENSG00000100300 DEFB107A ENSG00000186572 SMCO2 ENSG00000165935 CCL4 ENSG00000277943 KIR2DL1 ENSG00000276310 CKAP4 ENSG00000136026 C1orf115 ENSG00000162817 B3GALT4 ENSG00000206285 TMUB2 ENSG00000168591 LTB ENSG00000206437 TREM2 ENSG00000095970 IL1R2 ENSG00000115590 GLRA2 ENSG00000101958 BCL2 ENSG00000171791 GALNT2 ENSG00000143641 ATP6AP1L ENSG00000205464 AGTRAP ENSG00000177674 SLC6A20 ENSG00000163817 FCRL1 ENSG00000163534 ACACB ENSG00000076555 AMICA1 ENSG00000160593 DSC1 ENSG00000134765 EXTL3 ENSG00000012232 SIGLECL1 ENSG00000179213 RDH11 ENSG00000072042 SCAMP2 ENSG00000140497 CDH7 ENSG00000081138 ENSG00000275482 NCR1 ENSG00000277629 HEXB ENSG00000049860 TM4SF1 ENSG00000169908 LRRC4 ENSG00000128594 CDHR2 ENSG00000074276 ENSG00000250232 GPR101 ENSG00000165370 PKD1L2 ENSG00000166473 ANPEP ENSG00000166825 DSCAML1 ENSG00000177103 DCHS2 ENSG00000197410 TLCD2 ENSG00000275246 DHRS3 ENSG00000162496 SEMA5A ENSG00000112902 OR5T2 ENSG00000181718 GPR18 ENSG00000125245 PCDHGA11 ENSG00000253873 DNAJC22 ENSG00000178401 ALDH3A2 ENSG00000072210 TMEM178B ENSG00000261115 OR2H2 ENSG00000204657 GABBR1 ENSG00000237112 GPR137B ENSG00000077585 LMTK3 ENSG00000142235 INSIG2 ENSG00000125629 TAS1R3 ENSG00000169962 LETM1 ENSG00000168924 PCSK1N ENSG00000102109 LMTK2 ENSG00000164715 MRGPRD ENSG00000172938 TGFBR2 ENSG00000163513 GJB1 ENSG00000169562 TAPBP ENSG00000236490 MCUR1 ENSG00000050393 UBAC2 ENSG00000134882 MGAT4D ENSG00000205301 HTATIP2 ENSG00000109854 LIME1 ENSG00000203896 FICD ENSG00000198855 HLA-G ENSG00000237216 GDPD4 ENSG00000178795 GPR22 ENSG00000172209 MARC1 ENSG00000186205 ENSG00000278178 DNAJC10 ENSG00000077232 KIR3DL2 ENSG00000278707 FAM173B ENSG00000150756 PNKD ENSG00000127838 KCNK7 ENSG00000173338 DNAJC14 ENSG00000135392 FAM134B ENSG00000154153 HLA-B ENSG00000234745 ELMO2 ENSG00000062598 ICA1 ENSG00000003147 TMEM68 ENSG00000167904 ADAM23 ENSG00000114948 KIR3DL1 ENSG00000275486 SLC14A2 ENSG00000132874 GCNT1 ENSG00000187210 PPBP ENSG00000163736 CLN8 ENSG00000278220 OR1J2 ENSG00000197233 CDCP1 ENSG00000163814 MBOAT7 ENSG00000278322 RTN3 ENSG00000133318 UGT2B17 ENSG00000197888 PODXL ENSG00000128567 FGG ENSG00000171557 DPY19L1 ENSG00000173852 UGT2B15 ENSG00000277132 TAS2R7 ENSG00000273326 TMEM99 ENSG00000167920 LRRC8D ENSG00000171492 TMEM190 ENSG00000160472 CDH9 ENSG00000113100 DERL1 ENSG00000136986 SPAG8 ENSG00000137098 ICAM4 ENSG00000105371 TMEM240 ENSG00000205090 MARC2 ENSG00000117791 RTP2 ENSG00000198471 AQP2 ENSG00000167580 NIPA1 ENSG00000170113 SC5D ENSG00000109929 SLC50A1 ENSG00000169241 LPCAT4 ENSG00000176454 CNNM3 ENSG00000168763 TMEM252 ENSG00000181778 ABHD16A ENSG00000230475 ABHD16A ENSG00000236063 LY6G5C ENSG00000228883 OR5AP2 ENSG00000172464 TMEM59L ENSG00000105696 IL6ST ENSG00000134352 TCIRG1 ENSG00000110719 LILRB2 ENSG00000131042 KIR2DL2 ENSG00000274412 BTN2A1 ENSG00000112763 ADSSL1 ENSG00000185100 OLFML2B ENSG00000162745 DRAM2 ENSG00000156171 PRRT1 ENSG00000229488 CLPTM1L ENSG00000274811 DIABLO ENSG00000184047 ITM2B ENSG00000136156 SDHC ENSG00000143252 POMT1 ENSG00000130714 ICAM1 ENSG00000090339 BCL2L2 ENSG00000129473 KIAA1324 ENSG00000116299 IL13RA2 ENSG00000123496 DCUN1D5 ENSG00000137692 NEU1 ENSG00000184494 MBOAT7 ENSG00000273592 PCDH11X ENSG00000102290 NCR1 ENSG00000273916 OR7C1 ENSG00000127530 RABGAP1L ENSG00000152061 VIP ENSG00000146469 ENSG00000188223 FMO5 ENSG00000131781 KIR2DL4 ENSG00000274955 KIR2DL4 ENSG00000277540 SSTR2 ENSG00000180616 GNL2 ENSG00000134697 RNF223 ENSG00000237330 GNL2 ENSG00000117600 RHCE ENSG00000188672 KIR2DL2 ENSG00000273661 PXDN ENSG00000130508 SYT6 ENSG00000134207 DEFB134 ENSG00000205882 MAS1L ENSG00000206515 ADAM33 ENSG00000149451 LRRC38 ENSG00000162494 SLITRK6 ENSG00000184564 ENSG00000275079 OR7A5 ENSG00000188269 MGST3 ENSG00000143198 OR5B21 ENSG00000198283 KIR3DL2 ENSG00000275262 IGFLR1 ENSG00000126246 SLC39A14 ENSG00000104635 C3orf18 ENSG00000088543 ALOX5AP ENSG00000132965 ANGPTL7 ENSG00000171819 KIR2DL4 ENSG00000278430 DEFB115 ENSG00000215547 SLC6A9 ENSG00000196517 ITGA10 ENSG00000143127 MAN1A2 ENSG00000198162 HLA-E ENSG00000230254 HLA-A ENSG00000206505 ABHD1 ENSG00000143994 LRCH1 ENSG00000136141 JAG1 ENSG00000101384 ORMDL2 ENSG00000123353 AADACL4 ENSG00000204518 SCN1B ENSG00000105711 TMEM238 ENSG00000233493 SLC18A2 ENSG00000165646 TMEM244 ENSG00000203756 KCND2 ENSG00000184408 TMEM132D ENSG00000151952 FITM1 ENSG00000139914 FXYD6-FXYD2 ENSG00000255245 ENHO ENSG00000168913 AQP8 ENSG00000103375 F2RL1 ENSG00000164251 TMEM168 ENSG00000146802 CNIH1 ENSG00000100528 APH1A ENSG00000117362 ATP8A1 ENSG00000124406 BOC ENSG00000144857 ADRB1 ENSG00000043591 CATSPERB ENSG00000133962 C1orf95 ENSG00000203685 LILRB1 ENSG00000277807 GAL3ST3 ENSG00000175229 PDZD8 ENSG00000165650 OR4L1 ENSG00000176246 ST7 ENSG00000004866 FCER1A ENSG00000179639 CLSTN2 ENSG00000158258 TMEM110 ENSG00000213533 CCR5 ENSG00000160791 OR5H15 ENSG00000233412 NDUFA4L2 ENSG00000185633 BTNL2 ENSG00000224242 WNT7B ENSG00000188064 LILRB4 ENSG00000278279 SPPL2C ENSG00000185294 HIGD1C ENSG00000214511 FAR2 ENSG00000064763 NPSR1 ENSG00000187258 TMPRSS11F ENSG00000198092 HLA-DMA ENSG00000239463 KIR3DL2 ENSG00000275626 UBIAD1 ENSG00000120942 ATRN ENSG00000088812 GPR183 ENSG00000169508 MFAP3L ENSG00000198948 GPR113 ENSG00000173567 KIR3DL3 ENSG00000277392 DGAT1 ENSG00000185000 ENDOD1 ENSG00000149218 SYT3 ENSG00000213023 TNF ENSG00000228849 SMO ENSG00000128602 VSTM2A ENSG00000170419 TP53I11 ENSG00000175274 OR5H14 ENSG00000236032 ASB5 ENSG00000164122 CERS5 ENSG00000139624 CNTNAP3B ENSG00000154529 AGPAT1 ENSG00000236873 CLSTN3 ENSG00000139182 SYT1 ENSG00000067715 CYP26A1 ENSG00000095596 ENSG00000274058 NAGPA ENSG00000103174 MFF ENSG00000168958 DNAJC16 ENSG00000116138 TM4SF4 ENSG00000169903 FGF19 ENSG00000162344 ENSG00000234137 TPCN1 ENSG00000186815 UQCR10 ENSG00000184076 BRINP2 ENSG00000198797 KIR2DL3 ENSG00000276218 IGF1R ENSG00000140443 LRP6 ENSG00000070018 ATP1A1 ENSG00000163399 SLC22A8 ENSG00000149452 OR2J3 ENSG00000230855 UGT2A3 ENSG00000278216 FAM200A ENSG00000221909 PCDH12 ENSG00000113555 SLAMF7 ENSG00000026751 FXYD6 ENSG00000137726 SLC28A3 ENSG00000197506 LHCGR ENSG00000138039 EMID1 ENSG00000186998 SLMAP ENSG00000163681 PTPN1 ENSG00000196396 DOLK ENSG00000175283 KANSL1L ENSG00000144445 COLEC11 ENSG00000118004 KDELR1 ENSG00000105438 TNFSF8 ENSG00000106952 ABCA3 ENSG00000167972 ADAM15 ENSG00000143537 SMPD4 ENSG00000136699 MRGPRF ENSG00000172935 CERS3 ENSG00000154227 TNFRSF14 ENSG00000157873 TRPA1 ENSG00000104321 COX6A1 ENSG00000111775 KIAA1919 ENSG00000173214 F10 ENSG00000126218 CHRNA7 ENSG00000175344 ODF4 ENSG00000184650 MS4A2 ENSG00000149534 CD38 ENSG00000004468 LPCAT3 ENSG00000111684 SIRPA ENSG00000198053 KIR3DL1 ENSG00000274036 CLPTM1L ENSG00000049656 BMPR1B ENSG00000138696 ACVR1 ENSG00000115170 FBXW7 ENSG00000109670 ZPLD1 ENSG00000170044 SUSD2 ENSG00000099994 TYR ENSG00000077498 SLC35G3 ENSG00000164729 OR13J1 ENSG00000168828 ENSG00000251357 GABBR1 ENSG00000204681 ADAMTS13 ENSG00000160323 LRRC26 ENSG00000184709 KIAA0319 ENSG00000137261 PHEX ENSG00000102174 NDUFB8 ENSG00000166136 KIR2DL3 ENSG00000274108 KCNG1 ENSG00000026559 DEFB126 ENSG00000125788 LHFPL2 ENSG00000145685 KIR3DL3 ENSG00000276433 C6orf10 ENSG00000226892 ATP1B2 ENSG00000129244 CDCA7L ENSG00000164649 CXorf66 ENSG00000203933 CD226 ENSG00000150637 EMC4 ENSG00000128463 SGCA ENSG00000108823 TMEM251 ENSG00000153485 SLC26A11 ENSG00000181045 CDHR1 ENSG00000148600 CYB5A ENSG00000166347 ENSG00000258881 SLC1A3 ENSG00000079215 OR2J2 ENSG00000196231 FAM163A ENSG00000143340 RABGAP1 ENSG00000011454 JAM3 ENSG00000166086 TMEM171 ENSG00000157111 GCGR ENSG00000215644 GPR19 ENSG00000183150 VTI1B ENSG00000100568 MS4A15 ENSG00000166961 TMEM219 ENSG00000149932 NKAIN4 ENSG00000101198 FAM9C ENSG00000187268 GNRHR ENSG00000109163 NUCB2 ENSG00000070081 XG ENSG00000124343 COMMD7 ENSG00000149600 OR5AU1 ENSG00000169327 RET ENSG00000165731 ELTD1 ENSG00000162618 GPR135 ENSG00000181619 SLC25A6 ENSG00000169100 MGAT4C ENSG00000182050 FUT8 ENSG00000033170 ABCC11 ENSG00000121270 GAPT ENSG00000175857 SPTLC3 ENSG00000172296 CCRL2 ENSG00000121797 ENSG00000255641 LRRC37A ENSG00000176681 MTFR1L ENSG00000117640 GIMAP2 ENSG00000106560 CD52 ENSG00000169442 SLC35G2 ENSG00000168917 PIGT ENSG00000124155 TEX264 ENSG00000164081 SLC35B1 ENSG00000121073 HLA-B ENSG00000206450 KLRC3 ENSG00000205810 LRRC8B ENSG00000197147 RNF5 ENSG00000228907 OR52E6 ENSG00000205409 LRTOMT ENSG00000184154 SLC4A5 ENSG00000188687 SUCO ENSG00000094975 CABP7 ENSG00000100314 ROBO2 ENSG00000185008 OR10J3 ENSG00000196266 SLC2A11 ENSG00000275744 ATP6V0A4 ENSG00000105929 SLC22A31 ENSG00000259803 OR4M2 ENSG00000182974 SDC3 ENSG00000162512 PREB ENSG00000138073 EFNA5 ENSG00000184349 CANT1 ENSG00000171302 PCDHGA6 ENSG00000253731 FDCSP ENSG00000181617 THEM6 ENSG00000130193 TMEM40 ENSG00000088726 CLYBL ENSG00000125246 PRND ENSG00000171864 SGCD ENSG00000170624 LEMD2 ENSG00000161904 ADCY7 ENSG00000121281 PPIB ENSG00000166794 KIAA1467 ENSG00000084444 ENSG00000259066 KCND1 ENSG00000102057 ENSG00000111780 GABRA3 ENSG00000011677 SLC6A8 ENSG00000130821 ANO8 ENSG00000074855 EPT1 ENSG00000138018 OR2T2 ENSG00000276821 MFSD1 ENSG00000118855 DGAT2L6 ENSG00000184210 TRPV5 ENSG00000274348 NCR1 ENSG00000274053 AGER ENSG00000204305 KIR3DL3 ENSG00000276086 TMEM19 ENSG00000139291 SLC38A10 ENSG00000157637 KIR3DL3 ENSG00000275433 REEP3 ENSG00000165476 TMPRSS11D ENSG00000153802 CLDN9 ENSG00000213937 CREG1 ENSG00000143162 ITGA5 ENSG00000161638 GPR84 ENSG00000139572 NRM ENSG00000137404 L3MBTL2 ENSG00000100395 KIR3DL3 ENSG00000275172 SPNS2 ENSG00000183018 IL6R ENSG00000160712 SIRPB1 ENSG00000101307 KCNG4 ENSG00000168418 COA1 ENSG00000106603 LRRC8C ENSG00000171488 LST1 ENSG00000223465 CNNM2 ENSG00000148842 PSEN2 ENSG00000143801 LEMD3 ENSG00000174106 ENSG00000254778 TARM1 ENSG00000276604 SLC2A8 ENSG00000136856 ZDHHC21 ENSG00000175893 KIR3DL3 ENSG00000273502 SLC15A5 ENSG00000188991 ALG14 ENSG00000172339 IL31RA ENSG00000164509 CNOT1 ENSG00000125107 KIAA0100 ENSG00000007202 EMB ENSG00000170571 KIAA0100 ENSG00000277263 AGTR1 ENSG00000144891 SEC62 ENSG00000008952 PACRG ENSG00000112530 UTY ENSG00000183878 C12orf76 ENSG00000174456 OR1F1 ENSG00000168124 LRIG3 ENSG00000139263 AQP6 ENSG00000086159 PCDHGA1 ENSG00000204956 LTBP3 ENSG00000168056 ATP5F1 ENSG00000116459 GPR56 ENSG00000205336 THSD1 ENSG00000136114 ENSG00000255339 USP30 ENSG00000135093 KIR3DL1 ENSG00000277175 TSC2 ENSG00000103197 DEFB103B ENSG00000177243 SIGIRR ENSG00000185187 TOMM22 ENSG00000100216 SCN1A ENSG00000144285 LAPTM4B ENSG00000104341 FKTN ENSG00000106692 SLC43A2 ENSG00000278550 SLC39A7 ENSG00000229802 INPP4B ENSG00000109452 PIGL ENSG00000108474 ENSG00000274944 STS ENSG00000101846 AFG3L2 ENSG00000141385 PCDHGC3 ENSG00000240184 LTA ENSG00000231408 HLA-F ENSG00000204642 UBA2 ENSG00000126261 IGLV4-3 ENSG00000211672 ERN1 ENSG00000178607 ENSG00000272532 SIRPG ENSG00000089012 HTR4 ENSG00000164270 LRIT2 ENSG00000204033 CLDN5 ENSG00000184113 KIR3DL3 ENSG00000274724 GRIN2A ENSG00000183454 MS4A1 ENSG00000156738 TVP23B ENSG00000171928 C6orf25 ENSG00000224393 MFGE8 ENSG00000140545 IGHD ENSG00000211898 SLC30A1 ENSG00000170385 KIR2DL4 ENSG00000278606 CCR10 ENSG00000184451 KIR3DS1 ENSG00000275037 GRIN1 ENSG00000176884 B3GNT2 ENSG00000170340 CCL5 ENSG00000274233 MPV17 ENSG00000115204 KCNA5 ENSG00000130037 TRAM1L1 ENSG00000174599 OR5T1 ENSG00000262784 SGMS1 ENSG00000198964 MCOLN1 ENSG00000090674 TAP1 ENSG00000168394 ECE1 ENSG00000117298 DPM3 ENSG00000179085 LY6G5C ENSG00000231325 ADAM20 ENSG00000134007 OR4E2 ENSG00000221977 OR2A12 ENSG00000221858 NEU1 ENSG00000234343 PTPRC ENSG00000081237 TOR1AIP2 ENSG00000169905 NDRG1 ENSG00000104419 HIATL2 ENSG00000196312 COX14 ENSG00000178449 MID1 ENSG00000101871 PLA2G10 ENSG00000069764 OR2Y1 ENSG00000174339 CD274 ENSG00000120217 IF127 ENSG00000275214 LMBR1 ENSG00000105983 TECRL ENSG00000205678 CD70 ENSG00000125726 TMEM164 ENSG00000157600 GPR85 ENSG00000164604 PPT2 ENSG00000221988 PGRMC2 ENSG00000164040 TGFBR1 ENSG00000106799 GALNT8 ENSG00000130035 CDSN ENSG00000237114 LILRA6 ENSG00000244482 ZAN ENSG00000146839 SMIM11 ENSG00000273590 OR2A2 ENSG00000221989 ADORA2B ENSG00000170425 AKAP6 ENSG00000151320 RNF144A ENSG00000151692 OR11A1 ENSG00000234347 KLRC1 ENSG00000134545 SNX14 ENSG00000135317 NLGN1 ENSG00000169760 PLA2G10 ENSG00000276870 THOC1 ENSG00000079134 PCDHA7 ENSG00000204963 PTAFR ENSG00000169403 ADAM21 ENSG00000139985 P2RX1 ENSG00000108405 TMEM59 ENSG00000116209 TMEM45A ENSG00000181458 LILRB5 ENSG00000277414 HLA-DQA1 ENSG00000196735 SLC15A1 ENSG00000088386 PRRT1 ENSG00000238056 CNTNAP1 ENSG00000108797 FLRT1 ENSG00000126500 DERL2 ENSG00000072849 POM121C ENSG00000272391 DKC1 ENSG00000130826 DCBLD2 ENSG00000057019 CD7 ENSG00000173762 SUN2 ENSG00000100242 C6orf10 ENSG00000237881 PEBP4 ENSG00000134020 AGPAT9 ENSG00000138678 WSCD2 ENSG00000075035 CDH18 ENSG00000145526 FAM189B ENSG00000262666 HLA-DQA2 ENSG00000223793 STT3A ENSG00000134910 OR5K4 ENSG00000196098 KCNN2 ENSG00000080709 AASDH ENSG00000157426 HSD3B7 ENSG00000099377 HLA-DQB2 ENSG00000232629 PROM2 ENSG00000155066 CCDC127 ENSG00000164366 TAPBP ENSG00000206208 TMEM41B ENSG00000166471 ABCA8 ENSG00000141338 OR2AT4 ENSG00000171561 KIR3DL2 ENSG00000275566 OR5H6 ENSG00000279922 OR5K3 ENSG00000206536 CRHR1 ENSG00000276191 OR12D3 ENSG00000242022 SLC5A5 ENSG00000105641 IFNGR2 ENSG00000262795 SIDT1 ENSG00000072858 OPN1LW ENSG00000102076 RAP1B ENSG00000127314 ADCY6 ENSG00000174233 SLC35A5 ENSG00000138459 AGPAT1 ENSG00000226467 IEI6 ENSG00000126709 LILRB2 ENSG00000277751 SLC15A4 ENSG00000139370 TNF ENSG00000204490 TMEM117 ENSG00000139173 PPIC ENSG00000168938 DSG2 ENSG00000046604 HBEGF ENSG00000113070 SQLE ENSG00000104549 PTK7 ENSG00000112655 B4GALT1 ENSG00000086062 TAP1 ENSG00000230705 FAM19A4 ENSG00000163377 OR2A14 ENSG00000221938 MFN2 ENSG00000116688 OR7G2 ENSG00000170923 KCNB2 ENSG00000182674 TSPAN18 ENSG00000157570 OR6C1 ENSG00000205330 ITGAM ENSG00000169896 RNF225 ENSG00000269855 PLGRKT ENSG00000107020 CD93 ENSG00000125810 CYP3A4 ENSG00000160868 OR1M1 ENSG00000170929 B3GNT1 ENSG00000174684 TNF ENSG00000228321 NTSR2 ENSG00000169006 ENSG00000268279 SPAG4 ENSG00000061656 TMEM92 ENSG00000167105 SLC4A1 ENSG00000004939 FAM57B ENSG00000149926 TNF ENSG00000230108 GPRC5D ENSG00000111291 KRTCAP3 ENSG00000157992 OR10C1 ENSG00000229412 SLC35B2 ENSG00000157593 ACER2 ENSG00000177076 LY9 ENSG00000122224 ASGR1 ENSG00000141505 P4HTM ENSG00000178467 SLCO1C1 ENSG00000139155 PLP2 ENSG00000102007 PCDHA13 ENSG00000239389 HLA-DMB ENSG00000239329 SLC12A6 ENSG00000140199 SERTM1 ENSG00000180440 KIAA1549 ENSG00000122778 IGSF9 ENSG00000085552 OR5H2 ENSG00000197938 RNF182 ENSG00000180537 CDH1 ENSG00000039068 SLC25A17 ENSG00000100372 SLC30A8 ENSG00000164756 BACE2 ENSG00000182240 FCER2 ENSG00000104921 CTAGE1 ENSG00000212710 FSD1L ENSG00000106701 FCAR ENSG00000274580 ADAM2 ENSG00000276286 ENSG00000256206 DEGS2 ENSG00000168350 CHI3L2 ENSG00000064886 KIR3DL2 ENSG00000275416 PKDREJ ENSG00000130943 AGPAT5 ENSG00000155189 SLC34A2 ENSG00000157765 ADAM11 ENSG00000073670 C1orf186 ENSG00000263961 OR12D2 ENSG00000227446 COX6C ENSG00000164919 AGPAT2 ENSG00000169692 ROM1 ENSG00000149489 GPR133 ENSG00000111452 STX3 ENSG00000166900 SMIM13 ENSG00000224531 PDCD1LG2 ENSG00000197646 TNFRSF21 ENSG00000146072 OR10J5 ENSG00000184155 SYT4 ENSG00000132872 KLRC2 ENSG00000205809 MRS2 ENSG00000124532 IL18R1 ENSG00000115604 NTSR1 ENSG00000101188 CACNA1H ENSG00000196557 ABCC12 ENSG00000140798 TOR1AIP1 ENSG00000143337 GPX8 ENSG00000164294 RXFP4 ENSG00000173080 ADAM9 ENSG00000168615 TMEM213 ENSG00000214128 KIR2DS2 ENSG00000276425 KIR2DL3 ENSG00000274402 MAP4K2 ENSG00000168067 PCDHGA7 ENSG00000253537 TMEM55A ENSG00000155099 LHFPL1 ENSG00000182508 RABAC1 ENSG00000105404 STT3B ENSG00000163527 CSF3R ENSG00000119535 CCDC136 ENSG00000128596 ERF ENSG00000105722 DAPK2 ENSG00000035664 PIGY ENSG00000255072 CD83 ENSG00000112149 WFDC10B ENSG00000182931 SLC7A7 ENSG00000155465 PNPLA4 ENSG00000006757 KRTAP6-1 ENSG00000184724 STOML3 ENSG00000133115 ZDHHC7 ENSG00000153786 HHIPL2 ENSG00000143512 LST1 ENSG00000226182 DCAKD ENSG00000172992 CTLA4 ENSG00000163599 HYAL4 ENSG00000106302 CHIT1 ENSG00000133063 CYB5D2 ENSG00000167740 DNASE1 ENSG00000213918 DSC3 ENSG00000134762 C16orf92 ENSG00000167194 RAET1E ENSG00000164520 CYP4A11 ENSG00000187048 GPR123 ENSG00000197177 GALC ENSG00000054983 TMCC2 ENSG00000133069 MARCH8 ENSG00000278545 SPATA31A3 ENSG00000275969 LARGE ENSG00000133424 ENSG00000277596 C10orf99 ENSG00000188373 NCR3 ENSG00000237808 OR6C3 ENSG00000205329 HLA-DMB ENSG00000234154 OR2H1 ENSG00000229408 LAIR1 ENSG00000167613 KCNG3 ENSG00000171126 OPCML ENSG00000183715 C1QTNF1 ENSG00000173918 BSCL2 ENSG00000168000 ST6GALNAC6 ENSG00000160408 ERVFRD-1 ENSG00000244476 IL17RB ENSG00000056736 SUMF2 ENSG00000129103 DDR1 ENSG00000204580 OR51L1 ENSG00000176798 MT-ND5 ENSG00000198786 ADTRP ENSG00000111863 MT-ND6 ENSG00000198695 C6orf25 ENSG00000231003 IL1RL1 ENSG00000115602 NTM ENSG00000182667 OR2H2 ENSG00000206467 ABCC2 ENSG00000023839 MT-CYB ENSG00000198727 LINGO4 ENSG00000213171 CHST12 ENSG00000136213 TMEM50B ENSG00000263160 GYPC ENSG00000136732 TLR9 ENSG00000239732 TPTE2 ENSG00000132958 PPT2-EGFL8 ENSG00000258388 PTN ENSG00000105894 AVPR1B ENSG00000198049 ENSG00000279870 FAM8A1 ENSG00000137414 TMCO3 ENSG00000150403 THADA ENSG00000115970 FAM209A ENSG00000124103 ABHD3 ENSG00000158201 GJE1 ENSG00000203733 TMCO1 ENSG00000143183 PRLH ENSG00000071677 FASLG ENSG00000117560 UTY ENSG00000279053 GUCY2C ENSG00000070019 ENSG00000279947 OGFOD3 ENSG00000181396 LRPAP1 ENSG00000163956 MPZL1 ENSG00000197965 WNT6 ENSG00000115596 OST4 ENSG00000228474 ENSG00000279383 SLC44A5 ENSG00000137968 PPT2 ENSG00000206256 FFAR1 ENSG00000126266 LILRB3 ENSG00000204577 VSTM1 ENSG00000276066 NLGN4Y ENSG00000279292 HLA-G ENSG00000276051 CYB561 ENSG00000008283 SLC30A7 ENSG00000162695 GPR179 ENSG00000277399 VSIG10L ENSG00000186806 FKBP11 ENSG00000134285 NPIPB11 ENSG00000254206 MEGF11 ENSG00000277848 CDH6 ENSG00000113361 OR10X1 ENSG00000186400 EFCAB14 ENSG00000159658 KLRF1 ENSG00000150045 ASTL ENSG00000188886 OR2L8 ENSG00000196936 CCDC107 ENSG00000159884 OR2T11 ENSG00000183130 SLC52A1 ENSG00000132517 CLSTN1 ENSG00000171603 NIPAL2 ENSG00000104361 OR51F1 ENSG00000188069 GLRA3 ENSG00000145451 OR52R1 ENSG00000176937 RTN4 ENSG00000115310 FUT9 ENSG00000172461 ENSG00000273808 OR51G1 ENSG00000176879 NCR3 ENSG00000237103 ACBD4 ENSG00000181513 BDKRB2 ENSG00000168398 OR2AG1 ENSG00000170803 ANKAR ENSG00000151687 OR4X2 ENSG00000279556 SDF4 ENSG00000078808 OR4X1 ENSG00000176567 NCAM1 ENSG00000149294 OR4C16 ENSG00000181935 PIGG ENSG00000174227 FOLR1 ENSG00000110195 CUTA ENSG00000226492 OR5D13 ENSG00000198877 CH25H ENSG00000138135 OR5L1 ENSG00000186117 HLA-B ENSG00000223532 OR8K3 ENSG00000181689 MMD2 ENSG00000136297 OR5R1 ENSG00000174942 FAIM3 ENSG00000162894 OR5AR1 ENSG00000279911 LY6G6C ENSG00000228859 PSEN1 ENSG00000080815 MT-ND1 ENSG00000198888 OR6Q1 ENSG00000172381 MT-ND2 ENSG00000198763 PTH2R ENSG00000144407 MT-CO1 ENSG00000198804 GPD2 ENSG00000115159 MT-CO2 ENSG00000198712 OR1S1 ENSG00000172774 MT-ATP8 ENSG00000228253 OR8D2 ENSG00000197263 MT-ATP6 ENSG00000198899 OR8B4 ENSG00000198657 MT-CO3 ENSG00000198938 LRP11 ENSG00000120256 MT-ND3 ENSG00000198840 LPGAT1 ENSG00000123684 MT-ND4L ENSG00000212907 ESYT3 ENSG00000158220 MT-ND4 ENSG00000198886 OSTM1 ENSG00000081087 OR5H6 ENSG00000230301 SIGLEC9 ENSG00000129450 OR10C1 ENSG00000279941 ACHE ENSG00000087085 OR1B1 ENSG00000171484 CEACAM4 ENSG00000105352 KREMEN2 ENSG00000131650 GIMAP5 ENSG00000196329 SRR ENSG00000167720 LMLN ENSG00000185621 GPR97 ENSG00000182885 CXADR ENSG00000154639 INSIG1 ENSG00000186480 PTPRF ENSG00000142949 TNFRSF12A ENSG00000006327 OR4D1 ENSG00000141194 IZUMO1 ENSG00000182264 CLDN23 ENSG00000253958 STX12 ENSG00000117758 OR5AR1 ENSG00000172459 RNF5 ENSG00000223767 B3GALT6 ENSG00000176022 BMPR1A ENSG00000107779 OPRK1 ENSG00000082556 SLCO6A1 ENSG00000205359 KCNA10 ENSG00000143105 PCDHGA12 ENSG00000253159 LILRA6 ENSG00000274148 MCL1 ENSG00000143384 MPG ENSG00000103152 B3GALTL ENSG00000187676 RHBDL2 ENSG00000158315 EPHX3 ENSG00000105131 OR8G1 ENSG00000197849 HLA-DPA1 ENSG00000229685 HLA-DRB1 ENSG00000229074 AMELX ENSG00000125363 OR8G5 ENSG00000255298 ADAM2 ENSG00000104755 PCDHGB3 ENSG00000262209 HLA-DMA ENSG00000243719 SLC22A17 ENSG00000092096 CLEC7A ENSG00000172243 KCNA2 ENSG00000177301 SERF1B ENSG00000278839 PAM ENSG00000145730 PNPLA3 ENSG00000100344 CALY ENSG00000130643 SPEG ENSG00000072195 TLR6 ENSG00000174130 CD300A ENSG00000167851 SYT7 ENSG00000011347 CXCR5 ENSG00000160683 TMEM126B ENSG00000171204 SCN5A ENSG00000183873 PCDHA2 ENSG00000204969 SEMA6B ENSG00000167680 NINJ1 ENSG00000131669 KTN1 ENSG00000126777 CATSPER2 ENSG00000166762 PCDHA3 ENSG00000255408 SIGLEC11 ENSG00000161640 MRAP ENSG00000170262 ABCD3 ENSG00000117528 ATP11B ENSG00000058063 TM7SF2 ENSG00000149809 AMHR2 ENSG00000135409 RPN2 ENSG00000118705 CAMP ENSG00000164047 PKN2 ENSG00000065243 ERGIC2 ENSG00000087502 SIGLEC10 ENSG00000142512 NETO2 ENSG00000171208 PCDHA12 ENSG00000251664 GALNT11 ENSG00000178234 EPHA2 ENSG00000142627 TMEM208 ENSG00000168701 BST1 ENSG00000109743 HTR3C ENSG00000178084 SPTSSA ENSG00000165389 OR10D3 ENSG00000197309 CLDN14 ENSG00000159261 KIR2DL1 ENSG00000277833 WNT10A ENSG00000135925 HLA-F ENSG00000234487 SMIM22 ENSG00000267795 TTC13 ENSG00000143643 TM2D3 ENSG00000184277 ZMYM6 ENSG00000163867 SLC35F1 ENSG00000196376 STX2 ENSG00000111450 LRP10 ENSG00000197324 UPK2 ENSG00000110375 GPR83 ENSG00000123901 CD2 ENSG00000116824 CLMP ENSG00000166250 KCTD20 ENSG00000112078 TMEM97 ENSG00000109084 LMAN2 ENSG00000169223 BDKRB1 ENSG00000100739 SEC61A1 ENSG00000058262 CLEC4M ENSG00000104938 LRRTM3 ENSG00000198739 CLDN6 ENSG00000184697 PVRL1 ENSG00000110400 EGFR ENSG00000146648 KIR2DS1 ENSG00000275306 CNTNAP5 ENSG00000155052 TAOK2 ENSG00000149930 OR4X1 ENSG00000279260 GPR21 ENSG00000188394 VAMP2 ENSG00000220205 PLXNA1 ENSG00000114554 UGT3A1 ENSG00000145626 OPRL1 ENSG00000125510 ERBB2 ENSG00000141736 DTNA ENSG00000134769 KIR2DL5A ENSG00000278116 TMEM201 ENSG00000188807 SCIMP ENSG00000161929 MEGF9 ENSG00000106780 CTAGE4 ENSG00000225932 NAALADL2 ENSG00000177694 SLC22A16 ENSG00000004809 KCNA3 ENSG00000177272 SEL1L ENSG00000071537 KIR3DL2 ENSG00000278361 C6orf10 ENSG00000206310 HIGD1B ENSG00000131097 SLC5A8 ENSG00000256870 RXFP1 ENSG00000171509 LRIT3 ENSG00000183423 HLA-E ENSG00000229252 NELL2 ENSG00000184613 PCDHGA2 ENSG00000081853 GPR32 ENSG00000142511 SMIM10 ENSG00000184785 KCNK5 ENSG00000164626 TMEM154 ENSG00000170006 HLA-DPB1 ENSG00000237710 ADAM19 ENSG00000135074 KCNK15 ENSG00000124249 ABCB7 ENSG00000131269 CSGALNACT1 ENSG00000147408 KCNK2 ENSG00000082482 KIR2DS5 ENSG00000274563 NRCAM ENSG00000091129 ABCG4 ENSG00000172350 TPRA1 ENSG00000163870 PTPRD ENSG00000153707 SLAMF9 ENSG00000162723 TMEM212 ENSG00000186329 RNASE6 ENSG00000169413 GPR75 ENSG00000119737 THAP6 ENSG00000174796 ARV1 ENSG00000173409 ENSG00000223590 NXF5 ENSG00000126952 HSD11B2 ENSG00000176387 OR4D2 ENSG00000255713 DISP2 ENSG00000140323 SEZ6L2 ENSG00000174938 SYT8 ENSG00000149043 TMEM9B ENSG00000175348 SLCO2B1 ENSG00000137491 FAM132A ENSG00000184163 KRTAP20-1 ENSG00000244624 PIGR ENSG00000162896 SLC2A5 ENSG00000142583 SDR42E2 ENSG00000183921 OR5T1 ENSG00000181698 GRM7 ENSG00000196277 ECHDC1 ENSG00000093144 SHISA4 ENSG00000198892 QRFPR ENSG00000186867 ZDHHC18 ENSG00000204160 OR8H1 ENSG00000181693 PRIMA1 ENSG00000175785 TNFSF18 ENSG00000120337 SFRP1 ENSG00000104332 ALG3 ENSG00000214160 SYNE3 ENSG00000176438 SHISA3 ENSG00000178343 SLC39A10 ENSG00000196950 SLC2A7 ENSG00000197241 MFSD11 ENSG00000092931 OR8D1 ENSG00000196341 ABHD15 ENSG00000168792 OR13F1 ENSG00000186881 HSD17B12 ENSG00000149084 GJA9 ENSG00000131233 MRPL42 ENSG00000198015 LRIT1 ENSG00000148602 KCNT1 ENSG00000107147 SEC61B ENSG00000106803 CEACAM21 ENSG00000007129 LECT1 ENSG00000136110 SRCAP ENSG00000080603 GIMAP1 ENSG00000213203 MACF1 ENSG00000127603 DPCR1 ENSG00000229284 CALHM1 ENSG00000185933 BAX ENSG00000087088 CASR ENSG00000036828 TLR1 ENSG00000174125 ELANE ENSG00000197561 PRAF2 ENSG00000243279 SGCZ ENSG00000185053 DRD4 ENSG00000069696 TMPRSS11B ENSG00000185873 NDC1 ENSG00000058804 YIPF5 ENSG00000145817 TAS2R30 ENSG00000262111 CACFD1 ENSG00000160325 SLC12A2 ENSG00000064651 SYNGR2 ENSG00000108639 OR1J4 ENSG00000239590 IL21R ENSG00000103522 ITGB6 ENSG00000115221 NAT14 ENSG00000090971 SCAP ENSG00000114650 PQLC3 ENSG00000162976 CNTN1 ENSG00000018236 GPR180 ENSG00000152749 TYW1B ENSG00000277149 OR51A2 ENSG00000205496 ERP29 ENSG00000089248 TM9SF1 ENSG00000254692 COA3 ENSG00000183978 PLVAP ENSG00000130300 FREM2 ENSG00000150893 KIR2DL1 ENSG00000275522 ENSG00000263620 AQP7 ENSG00000165269 AQP11 ENSG00000178301 DGKE ENSG00000153933 KIR2DL4 ENSG00000275732 KIR2DL5A ENSG00000276177 GPR150 ENSG00000178015 TMEM209 ENSG00000146842 CLCA4 ENSG00000016602 HGF ENSG00000019991 HTR3E ENSG00000186038 RHOT2 ENSG00000140983 SFTPC ENSG00000168484 C6orf10 ENSG00000234280 GPR64 ENSG00000173698 OR4S1 ENSG00000176555 C12orf49 ENSG00000111412 OR11H1 ENSG00000130538 OR10V1 ENSG00000172289 OTOR ENSG00000125879 TMEM39A ENSG00000176142 ALG9 ENSG00000086848 AQP10 ENSG00000143595 OR51A4 ENSG00000205497 PDE6B ENSG00000133256 PCDHGA5 ENSG00000253485 KIRREL ENSG00000183853 TNFRSF25 ENSG00000215788 PCDHA11 ENSG00000249158 OR2H1 ENSG00000224395 CHRM4 ENSG00000180720 BNIP3 ENSG00000176171 ATP7B ENSG00000123191 TGFA ENSG00000163235 EMR2 ENSG00000127507 TMEM159 ENSG00000011638 NNT ENSG00000112992 PCDHGB5 ENSG00000276547 PCDHGA9 ENSG00000261934 MS4A4A ENSG00000110079 GHRHR ENSG00000106128 FCAR ENSG00000276985 SCARA3 ENSG00000168077 TAP2 ENSG00000228582 TNFSF4 ENSG00000117586 DSE ENSG00000111817 ATP9A ENSG00000054793 AGPAT3 ENSG00000160216 MSMO1 ENSG00000052802 PTCRA ENSG00000171611 PIGM ENSG00000143315 SGMS2 ENSG00000164023 CLN8 ENSG00000182372 KLK8 ENSG00000129455 HTR7 ENSG00000148680 TIGIT ENSG00000181847 RNF19B ENSG00000116514 UPK1A ENSG00000105668 NRP2 ENSG00000118257 SMIM7 ENSG00000214046 SLC25A39 ENSG00000013306 SSH1 ENSG00000084112 PAQR4 ENSG00000162073 GALNT13 ENSG00000144278 UNC5C ENSG00000182168 NRM ENSG00000234809 ETFDH ENSG00000171503 GRHL1 ENSG00000134317 KIR2DL3 ENSG00000278369 LY6G6E ENSG00000226187 FAM3D ENSG00000198643 HRCT1 ENSG00000196196 ERBB4 ENSG00000178568 DHCR24 ENSG00000116133 CDK5RAP2 ENSG00000136861 TMEM134 ENSG00000172663 PLXDC1 ENSG00000161381 LY6G6F ENSG00000241822 C6orf89 ENSG00000198663 SLC7A9 ENSG00000021488 ALG9 ENSG00000258529 NDUFA13 ENSG00000186010 GJA1 ENSG00000152661 SYT5 ENSG00000129990 CYP3A43 ENSG00000021461 SLC41A3 ENSG00000114544 EDDM3A ENSG00000181562 HLA-C ENSG00000206452 HLA-DMA ENSG00000243215 ILVBL ENSG00000105135 ATP2C2 ENSG00000064270 RHBDF1 ENSG00000007384 SLC37A3 ENSG00000157800 OR2AG2 ENSG00000188124 OR2H1 ENSG00000229125 TMEM56-RWDD3 ENSG00000271092 POTEH ENSG00000198062 CA9 ENSG00000107159 JPH2 ENSG00000149596 PRRT1 ENSG00000206331 ADCY10 ENSG00000143199 ANO9 ENSG00000185101 SCN2A ENSG00000136531 TACR1 ENSG00000115353 SYPL2 ENSG00000143028 ZP1 ENSG00000149506 GINM1 ENSG00000055211 TSPAN17 ENSG00000048140 CTSH ENSG00000103811 ECE2 ENSG00000145194 P2RX3 ENSG00000109991 TMEM56 ENSG00000152078 ENSG00000227826 OR2AG1 ENSG00000279486 OR51H1 ENSG00000176904 SPCS3 ENSG00000129128 OXTR ENSG00000180914 TEX2 ENSG00000136478 CHDC2 ENSG00000176034 RNFT2 ENSG00000135119 KIT ENSG00000157404 WNT7A ENSG00000154764 FCGR3A ENSG00000203747 KCNJ10 ENSG00000177807 KIR2DS3 ENSG00000277163 CMTM7 ENSG00000153551 TENM2 ENSG00000145934 ENSG00000258880 OR51G2 ENSG00000176893 SPOCK3 ENSG00000196104 CD3D ENSG00000167286 KCNA6 ENSG00000151079 AIG1 ENSG00000146416 KCNG2 ENSG00000178342 SLC8A2 ENSG00000118160 REEP1 ENSG00000068615 CD300LF ENSG00000186074 TMEM123 ENSG00000152558 LILRB1 ENSG00000277134 CACHD1 ENSG00000158966 VEZT ENSG00000028203 PVRL4 ENSG00000143217 KMT2E ENSG00000005483 FGF4 ENSG00000075388 KMT2E ENSG00000278086 IGSF9B ENSG00000080854 OR1L1 ENSG00000173679 IL17RA ENSG00000177663 SMN2 ENSG00000205571 GPR34 ENSG00000171659 ADRB3 ENSG00000188778 AREG ENSG00000109321 FIG4 ENSG00000112367 PCDHGB7 ENSG00000254122 KIR2DL5B ENSG00000278481 TMEM135 ENSG00000166575 COQ6 ENSG00000119723 KCNH4 ENSG00000089558 PCDHGA10 ENSG00000253846 FKBP1A ENSG00000088832 OR1L3 ENSG00000171481 SLC51B ENSG00000186198 KIR2DL1 ENSG00000278248 OR6A2 ENSG00000184933 ITGA2 ENSG00000164171 CNGA2 ENSG00000183862 GRIN2C ENSG00000161509 OR51G1 ENSG00000278870 DCST1 ENSG00000163357 SLC38A9 ENSG00000177058 TRPM7 ENSG00000092439 SLCO5A1 ENSG00000137571 TEX29 ENSG00000153495 FCAMR ENSG00000162897 OR5D16 ENSG00000205029 LEMD1 ENSG00000186007 VAMP5 ENSG00000168899 DSCAM ENSG00000171587 PRRT4 ENSG00000224940 SLC38A7 ENSG00000103042 FCGR2B ENSG00000072694 RNF130 ENSG00000113269 PAQR8 ENSG00000170915 ENSG00000262505 CCKBR ENSG00000110148 SMAGP ENSG00000170545 SLC16A10 ENSG00000112394 TYRO3 ENSG00000092445 TMTC2 ENSG00000179104 QSOX1 ENSG00000116260 SMIM11 ENSG00000205670 FGF6 ENSG00000111241 GPR144 ENSG00000180264 ZDHHC12 ENSG00000160446 TMEM186 ENSG00000184857 NGFR ENSG00000064300 EDA2R ENSG00000131080 SLC12A3 ENSG00000070915 ATP10D ENSG00000145246 CATSPERG ENSG00000099338 GBGT1 ENSG00000148288 PRR7 ENSG00000131188 GABRA1 ENSG00000022355 KIR2DL1 ENSG00000275276 TAP2 ENSG00000237599 OR1S1 ENSG00000280204 CAV3 ENSG00000182533 SEMA5B ENSG00000082684 FAIM2 ENSG00000135472 IL4I1 ENSG00000104951 TMEM216 ENSG00000187049 FFAR3 ENSG00000185897 CD1D ENSG00000158473 TMEM121 ENSG00000184986 CYP1A1 ENSG00000140465 TRPM2 ENSG00000142185 OR12D3 ENSG00000251394 IGF2R ENSG00000197081 TMTC1 ENSG00000133687 HLA-A ENSG00000229215 ENSG00000254875 TMEM169 ENSG00000163449 STIM1 ENSG00000167323 C9orf69 ENSG00000238227 CDSN ENSG00000237165 C6orf25 ENSG00000228090 TMEM160 ENSG00000130748 SLC24A1 ENSG00000074621 BCL2L1 ENSG00000171552 TAS2R46 ENSG00000262525 KIR3DL3 ENSG00000276196 XKR9 ENSG00000221947 FCAR ENSG00000275970 CDH22 ENSG00000149654 P2RY12 ENSG00000169313 SLC46A1 ENSG00000076351 MIA-RAB4B ENSG00000268975 HEG1 ENSG00000173706 CACNA1B ENSG00000148408 AMIGO1 ENSG00000181754 PAG1 ENSG00000076641 ATP9B ENSG00000166377 CACNG3 ENSG00000006116 TMPRSS11E ENSG00000087128 TAS2R14 ENSG00000261984 IL25 ENSG00000166090 ENTPD1 ENSG00000138185 CLEC4F ENSG00000152672 C1orf162 ENSG00000143110 ENSG00000260342 CMTM6 ENSG00000091317 ENPP2 ENSG00000136960 NCR1 ENSG00000278362 CCR4 ENSG00000183813 SLC10A7 ENSG00000120519 CRIM1 ENSG00000150938 FCGR2A ENSG00000143226 ENSG00000258674 CASC4 ENSG00000166734 CHRFAM7A ENSG00000166664 SGPP2 ENSG00000163082 GABRA2 ENSG00000151834 P2RY13 ENSG00000181631 C9orf89 ENSG00000165233 CXCR6 ENSG00000172215 TM9SF3 ENSG00000077147 DST ENSG00000151914 DHRS2 ENSG00000100867 TMEM91 ENSG00000142046 CHRNA4 ENSG00000101204 KIAA1324L ENSG00000164659 NRXN2 ENSG00000110076 CD244 ENSG00000122223 OR2W1 ENSG00000206525 AQP9 ENSG00000103569 MTUS1 ENSG00000129422 CUX1 ENSG00000257923 ALPK1 ENSG00000073331 SPTLC2 ENSG00000100596 OR8D2 ENSG00000279116 SHISA5 ENSG00000164054 CST9L ENSG00000101435 TYW1 ENSG00000198874 OR11A1 ENSG00000230780 MRVI1 ENSG00000072952 OR2W1 ENSG00000227639 PTPRO ENSG00000151490 PTGER4 ENSG00000171522 CTSA ENSG00000064601 DYRK2 ENSG00000127334 OR5V1 ENSG00000233046 ENSG00000259371 KCNJ9 ENSG00000162728 OR14J1 ENSG00000112459 PTPRM ENSG00000173482 CHST7 ENSG00000147119 TAS2R43 ENSG00000262612 OR10C1 ENSG00000224234 COL25A1 ENSG00000188517 CD36 ENSG00000135218 CHST8 ENSG00000124302 TRPV3 ENSG00000167723 DGCR2 ENSG00000070413 FDPS ENSG00000160752 KIR2DL1 ENSG00000275080 SLC5A12 ENSG00000148942 LTB ENSG00000238114 OR6J1 ENSG00000255804 PVRL3 ENSG00000177707 LDLRAD4 ENSG00000168675 TMEM74 ENSG00000164841 SLC16A8 ENSG00000100156 CLEC3A ENSG00000166509 SLC35E4 ENSG00000100036 JAGN1 ENSG00000171135 P2RY14 ENSG00000174944 EPHB2 ENSG00000133216 TMEM210 ENSG00000185863 DNAJC13 ENSG00000138246 CHRM1 ENSG00000168539 FLT4 ENSG00000037280 COL24A1 ENSG00000171502 MMP24 ENSG00000125966 OR6V1 ENSG00000225781 HLA-DQB2 ENSG00000228254 METTL7B ENSG00000170439 DSEL ENSG00000262102 TPSG1 ENSG00000116176 EBPL ENSG00000123179 KLHL31 ENSG00000124743 KCNN3 ENSG00000143603 DAD1 ENSG00000129562 TAS2R13 ENSG00000273457 RNF175 ENSG00000145428 TAS2R10 ENSG00000272805 GPM6B ENSG00000046653 CYP26B1 ENSG00000003137 CDRT15L2 ENSG00000214819 AGPAT1 ENSG00000206324 HLA-G ENSG00000206506 PVR ENSG00000073008 PCDHGB4 ENSG00000253953 CECR6 ENSG00000183307 GPR4 ENSG00000177464 UGT2B28 ENSG00000135226 NDUFB1 ENSG00000183648 TMEM161B ENSG00000164180 CARKD ENSG00000213995 CLPSL2 ENSG00000196748 NEU1 ENSG00000227129 TAS2R20 ENSG00000273092 KIR2DL3 ENSG00000274410 HLA-F ENSG00000229698 F2RL3 ENSG00000127533 PIRT ENSG00000233670 MAN2A2 ENSG00000196547 PRRT1 ENSG00000229071 CLDN25 ENSG00000228607 CYP2U1 ENSG00000155016 LSMEM1 ENSG00000181016 GP6 ENSG00000088053 ERGIC3 ENSG00000125991 OR5M8 ENSG00000181371 MBOAT7 ENSG00000275118 LRFN2 ENSG00000156564 KIR2DL4 ENSG00000278074 FCGR3B ENSG00000162747 PCDHGA8 ENSG00000253767 MCEMP1 ENSG00000183019 CHRNA9 ENSG00000174343 TAS2R19 ENSG00000263028 ENSG00000272305 HLA-DOA ENSG00000206292 DUOX1 ENSG00000137857 WBSCR28 ENSG00000175877 SLC1A6 ENSG00000105143 TSPAN32 ENSG00000064201 APOC1 ENSG00000130208 COL11A2 ENSG00000206290 CMTM3 ENSG00000140931 OR9A2 ENSG00000179468 ATP1B4 ENSG00000101892 SSPN ENSG00000123096 JTB ENSG00000143543 HCST ENSG00000126264 TMEM107 ENSG00000179029 OPN1MW ENSG00000269433 SLC9A6 ENSG00000198689 SIRPB2 ENSG00000196209 SLC9A5 ENSG00000135740 NDUFA3 ENSG00000276061 CCL22 ENSG00000102962 SSR1 ENSG00000124783 SLC16A7 ENSG00000118596 ASB11 ENSG00000165192 KIR2DL1 ENSG00000278821 TMEM179B ENSG00000185475 REEP2 ENSG00000132563 EVI5L ENSG00000142459 ABCB9 ENSG00000150967 OR12D2 ENSG00000235966 PGAP3 ENSG00000161395 GRID1 ENSG00000182771 LAMP2 ENSG00000005893 CLN5 ENSG00000102805 COL11A2 ENSG00000223699 OPN1MW2 ENSG00000166160 KCNJ4 ENSG00000168135 CNGA3 ENSG00000144191 ACSBG2 ENSG00000130377 ITGA9 ENSG00000144668 ARL6IP1 ENSG00000170540 TSPO2 ENSG00000112212 ITGA6 ENSG00000091409 SCD5 ENSG00000145284 CYP2E1 ENSG00000130649 OR6C75 ENSG00000187857 GPR78 ENSG00000155269 LRRC37A3 ENSG00000176809 LMBRD1 ENSG00000168216 TMEM98 ENSG00000006042 PCDHA5 ENSG00000204965 LST1 ENSG00000206433 LILRA6 ENSG00000277177 KIR2DS4 ENSG00000274406 SPATA31A7 ENSG00000276040 ALG1 ENSG00000033011 GRIK5 ENSG00000105737 PTPRE ENSG00000132334 TMEM87A ENSG00000103978 SOAT1 ENSG00000057252 CNR2 ENSG00000188822 SPINT1 ENSG00000166145 RMDN3 ENSG00000137824 RELL1 ENSG00000181826 EDNRA ENSG00000151617 USH2A ENSG00000042781 PCDHA4 ENSG00000204967 HLA-DQB1 ENSG00000225824 DYSF ENSG00000135636 HLA-DMB ENSG00000241296 BTNL2 ENSG00000204290 CHRNB4 ENSG00000117971 SV2B ENSG00000185518 RNF26 ENSG00000173456 TMEM165 ENSG00000134851 TMEM63C ENSG00000165548 ITGA7 ENSG00000135424 IFNLR1 ENSG00000185436 GPR171 ENSG00000174946 TMED5 ENSG00000117500 ATP12A ENSG00000075673 SEC11C ENSG00000166562 ABCA4 ENSG00000198691 TIMM21 ENSG00000075336 LILRB3 ENSG00000275019 CNTN6 ENSG00000134115 SLC36A1 ENSG00000123643 KIR2DS1 ENSG00000275421 RTP3 ENSG00000163825 AIFM2 ENSG00000042286 LRRC15 ENSG00000172061 CLRN2 ENSG00000249581 CD46 ENSG00000117335 CYP2A7 ENSG00000198077 TAP1 ENSG00000224748 CCDC112 ENSG00000164221 NRG1 ENSG00000157168 PIGS ENSG00000087111 GPR50 ENSG00000102195 BEAN1 ENSG00000166546 IGSF10 ENSG00000152580 MAS1L ENSG00000237284 FCAR ENSG00000276858 TMEM86A ENSG00000151117 STEAP4 ENSG00000127954 OR2W1 ENSG00000228652 XKR4 ENSG00000206579 CLCN4 ENSG00000073464 FADS6 ENSG00000172782 KIR2DL3 ENSG00000276459 KIR2DS3 ENSG00000277193 ENTPD7 ENSG00000198018 ZACN ENSG00000186919 STX7 ENSG00000079950 KIR2DS4 ENSG00000274957 NIPAL3 ENSG00000001461 ABCC4 ENSG00000125257 CEACAM19 ENSG00000186567 LILRB4 ENSG00000186818 CXCL9 ENSG00000138755 GP5 ENSG00000178732 ABCA12 ENSG00000144452 SLC9C2 ENSG00000162753 CDC14B ENSG00000081377 L1CAM ENSG00000198910 LAMP1 ENSG00000185896 ITGB1 ENSG00000150093 RNF152 ENSG00000176641 KIR3DL3 ENSG00000274763 TMEM178A ENSG00000152154 SLC22A6 ENSG00000197901 SLC35G4 ENSG00000236396 KIR2DL4 ENSG00000277355 KLK5 ENSG00000167754 ATG9A ENSG00000198925 KIR2DL1 ENSG00000278503 ROR2 ENSG00000169071 LYPD6B ENSG00000150556 LAYN ENSG00000204381 SLC39A5 ENSG00000139540 OR10Q1 ENSG00000180475 FCGR2C ENSG00000244682 IGSF11 ENSG00000144847 PIGV ENSG00000060642 MIA3 ENSG00000154305 AGER ENSG00000234729 OR2Z1 ENSG00000181733 AQP3 ENSG00000165272 LAIR1 ENSG00000278154 CD40 ENSG00000101017 OR2C1 ENSG00000168158 CNTNAP3 ENSG00000106714 SLITRK5 ENSG00000165300 KIR2DL4 ENSG00000274232 LY6G6C ENSG00000235452 KIR2DL5B ENSG00000275946 ICOS ENSG00000163600 MGARP ENSG00000137463 MS4A8 ENSG00000166959 KLHL5 ENSG00000109790 SIGLEC15 ENSG00000197046 LGR5 ENSG00000139292 C5orf15 ENSG00000113583 RHBDF2 ENSG00000129667 AIFM1 ENSG00000156709 PTPN5 ENSG00000110786 ATP6V0A1 ENSG00000033627 CD1E ENSG00000158488 KITLG ENSG00000049130 HLA-E ENSG00000206493 CALHM3 ENSG00000183128 TMEM8C ENSG00000187616 ZDHHC8 ENSG00000099904 OR8B2 ENSG00000204293 IFNGR1 ENSG00000027697 UPK1B ENSG00000114638 ZDHHC9 ENSG00000188706 OR2A7 ENSG00000243896 MAVS ENSG00000088888 PTCHD2 ENSG00000204624 KIR2DL5B ENSG00000274707 SLC39A1 ENSG00000143570 TAS2R31 ENSG00000263097 GGT7 ENSG00000131067 CLEC14A ENSG00000176435 TMEM256 ENSG00000205544 TMEM235 ENSG00000204278 KIR2DL1 ENSG00000278805 KIR3DL2 ENSG00000278656 ADIPOR1 ENSG00000159346 TTYH3 ENSG00000136295 KCNC2 ENSG00000166006 ACBD5 ENSG00000107897 SMPD2 ENSG00000135587 OR51S1 ENSG00000176922 ITPR2 ENSG00000123104 ANO1 ENSG00000131620 KIR2DS5 ENSG00000276676 KIR2DS4 ENSG00000276885 P2RX2 ENSG00000187848 RNASE7 ENSG00000165799 RNF170 ENSG00000120925 TMEM223 ENSG00000168569 SORL1 ENSG00000137642 COX7A2L ENSG00000115944 GLP2R ENSG00000065325 SLC29A2 ENSG00000174669 PORCN ENSG00000102312 ATP2B3 ENSG00000067842 KCNC1 ENSG00000129159 OR51A7 ENSG00000176895 UGGT1 ENSG00000136731 SORT1 ENSG00000134243 OR2B3 ENSG00000206524 DRD1 ENSG00000184845 C2orf74 ENSG00000237651 GLT8D1 ENSG00000016864 NDFIP2 ENSG00000102471 SLC4A2 ENSG00000164889 SLC29A1 ENSG00000112759 HLA-DQA1 ENSG00000225890 KIR2DL3 ENSG00000273887 UNC5CL ENSG00000124602 TAZ ENSG00000102125 TSPAN4 ENSG00000214063 CTRB1 ENSG00000168925 FGFR4 ENSG00000160867 OR8B3 ENSG00000196661 TMPRSS3 ENSG00000160183 TAP2 ENSG00000206235 KIR2DL1 ENSG00000276820 ALG6 ENSG00000088035 HLA-DMB ENSG00000242092 MOGAT1 ENSG00000124003 EDA ENSG00000158813 OR8B4 ENSG00000280090 SLC35A4 ENSG00000176087 SCAMP3 ENSG00000263290 CLDN11 ENSG00000013297 ADAM12 ENSG00000148848 MAS1L ENSG00000228377 OR8B8 ENSG00000197125 PCDHA8 ENSG00000204962 DCSTAMP ENSG00000164935 SMIM21 ENSG00000206026 MCU ENSG00000156026 PPT2 ENSG00000206329 ABHD14A ENSG00000248487 TNFRSF1A ENSG00000067182 CRLF2 ENSG00000205755 CHRNB3 ENSG00000147432 VIPR2 ENSG00000106018 OR2H2 ENSG00000206512 PTPLAD2 ENSG00000188921 RNF5 ENSG00000183574 KIR2DS1 ENSG00000276327 ST6GAL2 ENSG00000144057 IFI27L1 ENSG00000165948 TSPAN13 ENSG00000106537 BTN3A3 ENSG00000111801 LRRC19 ENSG00000184434 COMT ENSG00000093010 IL22 ENSG00000127318 RNF150 ENSG00000170153 PDZK1IP1 ENSG00000162366 FAM19A3 ENSG00000184599 ATP13A3 ENSG00000133657 OR11H4 ENSG00000176198 VTI1A ENSG00000151532 SMIM4 ENSG00000168273 OR8A1 ENSG00000196119 LRFN4 ENSG00000173621 GALNT7 ENSG00000109586 IFNL2 ENSG00000183709 HGFAC ENSG00000109758 TMEM189 ENSG00000240849 OR52R1 ENSG00000279270 TAS2R50 ENSG00000273431 N4BP2L2 ENSG00000244754 NEO1 ENSG00000067141 SIGLEC7 ENSG00000168995 SYNGR3 ENSG00000127561 EMR3 ENSG00000131355 RNF139 ENSG00000170881 HLA-C ENSG00000233841 CHST15 ENSG00000182022 CYSLTR2 ENSG00000152207 LRFN5 ENSG00000165379 PDE3A ENSG00000172572 ARF4 ENSG00000168374 OR11A1 ENSG00000206472 KIR3DL3 ENSG00000274639 SLC34A1 ENSG00000131183 ADRA1B ENSG00000170214 TARM1 ENSG00000248385 NRM ENSG00000236843 MARCH8 ENSG00000165406 AGER ENSG00000230514 IGSF8 ENSG00000162729 LRRC55 ENSG00000183908 SLCO4C1 ENSG00000173930 ENSG00000275500 MSMP ENSG00000215183 KIR2DL5B ENSG00000275937 PCDHAC1 ENSG00000248383 CX3CR1 ENSG00000168329 ABCA10 ENSG00000154263 CHIC2 ENSG00000109220 ALDH6A1 ENSG00000119711 SSR2 ENSG00000163479 CCDC134 ENSG00000100147 OR4F17 ENSG00000176695 CYSLTR1 ENSG00000173198 NMB ENSG00000197696 LST1 ENSG00000231048 ATP5G3 ENSG00000154518 SLC43A3 ENSG00000134802 TMEM241 ENSG00000134490 CLPS ENSG00000137392 HEPHL1 ENSG00000181333 GZMM ENSG00000197540 SV2A ENSG00000159164 CXCL14 ENSG00000145824 B4GALT6 ENSG00000118276 BSND ENSG00000162399 DIRC2 ENSG00000138463 FAP ENSG00000078098 TOR1B ENSG00000136816 HLA-DMA ENSG00000243189 KIR3DS1 ENSG00000274465 GABBR1 ENSG00000206511 SLC7A14 ENSG00000013293 NMUR2 ENSG00000132911 ADAM30 ENSG00000134249 FAM57A ENSG00000167695 EML2 ENSG00000125746 OXGR1 ENSG00000165621 TBC1D20 ENSG00000125875 MARVELD1 ENSG00000155254 LILRB4 ENSG00000275730 TLCD1 ENSG00000160606 TRPM5 ENSG00000070985 TAPBP ENSG00000112493 TRPV6 ENSG00000165125 ORAI2 ENSG00000160991 GDE1 ENSG00000006007 OR13C3 ENSG00000204246 MFRP ENSG00000259159 OR9I1 ENSG00000172377 C1QTNF5 ENSG00000259159 GP1BB ENSG00000203618 OR13C4 ENSG00000148136 ORAI3 ENSG00000175938 PIGZ ENSG00000119227 VWA9 ENSG00000138614 GRIN2D ENSG00000105464 KLRC4-KLRK1 ENSG00000255819 ATP2A2 ENSG00000174437 ACSL3 ENSG00000123983 KIR2DL4 ENSG00000274189 GJA8 ENSG00000121634 TMEM174 ENSG00000164325 ENSG00000105520 OR51T1 ENSG00000176900 TM4SF20 ENSG00000168955 FCAR ENSG00000275564 VKORC1 ENSG00000167397 ERVW-1 ENSG00000242950 TMEM128 ENSG00000132406 KCNK17 ENSG00000124780 OR9Q1 ENSG00000186509 APOL4 ENSG00000100336 GPAA1 ENSG00000197858 PCDH11Y ENSG00000099715 GDAP1L1 ENSG00000124194 DDR1 ENSG00000230456 ITGB5 ENSG00000082781 PET117 ENSG00000232838 GPR37L1 ENSG00000170075 LRRC37A2 ENSG00000238083 CYP46A1 ENSG00000036530 DNAH10 ENSG00000197653 HLA-DOB ENSG00000239457 CDKAL1 ENSG00000145996 KCNS3 ENSG00000170745 CAPZA2 ENSG00000198898 MANSC1 ENSG00000111261 DDX59 ENSG00000118197 HEPACAM2 ENSG00000188175 FREM1 ENSG00000164946 CEBPZOS ENSG00000218739 PCDH7 ENSG00000169851 OR12D2 ENSG00000204690 ITPRIPL2 ENSG00000205730 OR6Q1 ENSG00000279051 GJA5 ENSG00000265107 ABHD16A ENSG00000206403 LRP2 ENSG00000081479 NRM ENSG00000228854 ACSM1 ENSG00000166743 DPP7 ENSG00000176978 KIR2DS4 ENSG00000276154 TEX28 ENSG00000278057 ENSG00000254979 TMEM263 ENSG00000151135 OR51F1 ENSG00000280021 CD1A ENSG00000158477 P2RY11 ENSG00000244165 HIATL1 ENSG00000148110 FAM26F ENSG00000188820 OR5V1 ENSG00000112461 OR12D3 ENSG00000204692 NTN1 ENSG00000065320 TSPAN2 ENSG00000134198 TMEM182 ENSG00000170417 OR10C1 ENSG00000204689 TMEM141 ENSG00000244187 KIR3DL1 ENSG00000278856 MGST2 ENSG00000085871 KIR2DL1 ENSG00000278495 PTGFRN ENSG00000134247 MARCH5 ENSG00000198060 IFNB1 ENSG00000171855 NCR3 ENSG00000206430 HLA-DOA ENSG00000232962 ZDHHC13 ENSG00000177054 SCN11A ENSG00000168356 NDST2 ENSG00000166507 RNF24 ENSG00000101236 SLC11A1 ENSG00000018280 SPATA31D1 ENSG00000214929 C22orf24 ENSG00000128254 TMEM253 ENSG00000232070 NRM ENSG00000235773 OR13C8 ENSG00000186943 ACSS2 ENSG00000131069 PPFIA1 ENSG00000131626 ACSM2B ENSG00000066813 COX15 ENSG00000014919 SLC16A5 ENSG00000170190 PCDHAC2 ENSG00000243232 OR51F2 ENSG00000176925 CNPPD1 ENSG00000115649 KIR2DL3 ENSG00000275623 RNF103-CHMP3 ENSG00000249884 FAM134C ENSG00000141699 TMEM88B ENSG00000205116 KIR2DS2 ENSG00000276258 KCNN4 ENSG00000104783 CYP2A6 ENSG00000255974 SYT15 ENSG00000204176 TSPAN11 ENSG00000110900 HLA-C ENSG00000204525 C6orf10 ENSG00000236672 GALNT15 ENSG00000131386 TRPC7 ENSG00000069018 TPM1 ENSG00000140416 RNF103 ENSG00000239305 CRLF3 ENSG00000176390 CTAGE5 ENSG00000150527 PAQR5 ENSG00000137819 KIR3DL2 ENSG00000276424 ABI3BP ENSG00000154175 HGSNAT ENSG00000165102 SERF1B ENSG00000205572 SLC5A1 ENSG00000100170 ITGA1 ENSG00000213949 TMEM220 ENSG00000187824 PTPRQ ENSG00000139304 PLD3 ENSG00000105223 OR2J2 ENSG00000204700 TIMM50 ENSG00000105197 ATP13A2 ENSG00000159363 MFRP ENSG00000235718 GJA3 ENSG00000121743 HLA-DQA2 ENSG00000231823 TMX4 ENSG00000125827 FZD4 ENSG00000174804 PCDH9 ENSG00000184226 TMEM140 ENSG00000146859 LILRB1 ENSG00000104972 LITAF ENSG00000189067 PANX3 ENSG00000154143 PI16 ENSG00000164530 TRPC4 ENSG00000133107 GAL3ST4 ENSG00000197093 PTPRS ENSG00000105426 HLA-DMA ENSG00000242361 OR5D13 ENSG00000279761 AWAT1 ENSG00000204195 FER1L6 ENSG00000214814 LRRN4CL ENSG00000177363 GRIA2 ENSG00000120251 KCNK3 ENSG00000171303 HLA-DQB2 ENSG00000224305 FZD3 ENSG00000104290 OR4F6 ENSG00000184140 MUC17 ENSG00000169876 DDR1 ENSG00000234078 KIR3DL3 ENSG00000276328 KIR3DL2 ENSG00000276882 RNF43 ENSG00000108375 GPR61 ENSG00000156097 C19orf18 ENSG00000177025 OR4F15 ENSG00000182854 OSTC ENSG00000198856 ZDHHC24 ENSG00000174165 ENSG00000117598 CEND1 ENSG00000184524 C1QB ENSG00000173369 IGSF1 ENSG00000147255 TAS2R4 ENSG00000127364 TMX2 ENSG00000213593 CLDN12 ENSG00000157224 YME1L1 ENSG00000136758 SLC6A12 ENSG00000111181 ACPP ENSG00000014257 ENPP3 ENSG00000154269 C6orf136 ENSG00000204564 FAT1 ENSG00000083857 BRS3 ENSG00000102239 THSD7A ENSG00000005108 P2RX6 ENSG00000099957 MCHR1 ENSG00000128285 SLC15A2 ENSG00000163406 FZD5 ENSG00000163251 LRP1B ENSG00000168702 CMTM5 ENSG00000166091 OR8S1 ENSG00000197376 AQP1 ENSG00000240583 KCNJ12 ENSG00000184185 KCNJ6 ENSG00000157542 KIR2DL2 ENSG00000275407 CYB5R1 ENSG00000159348 FAAH2 ENSG00000165591 MMEL1 ENSG00000142606 OR8J1 ENSG00000172487 HLA-DOA ENSG00000235744 ANO10 ENSG00000160746 SLC6A19 ENSG00000174358 ATP11C ENSG00000101974 WNT11 ENSG00000085741 TMEM133 ENSG00000170647 SLC39A13 ENSG00000165915 SIGLEC5 ENSG00000105501 LYVE1 ENSG00000133800 MIA ENSG00000261857 ASB18 ENSG00000182177 LAG3 ENSG00000089692 TMEM63B ENSG00000137216 BAMBI ENSG00000095739 DNAJB11 ENSG00000090520 KIR3DL1 ENSG00000276329 HLA-DRA ENSG00000227993 NAT2 ENSG00000156006 SLC7A4 ENSG00000099960 RMDN2 ENSG00000115841 NKAIN2 ENSG00000188580 ZNF451 ENSG00000112200 IL7R ENSG00000168685 GGT1 ENSG00000100031 TMEM33 ENSG00000109133 GJD4 ENSG00000177291 OR4C5 ENSG00000176540 TMEM18 ENSG00000151353 SLC22A11 ENSG00000168065 SLC38A11 ENSG00000169507 OR4C3 ENSG00000176547 KCNE4 ENSG00000152049 PAAF1 ENSG00000175575 TMEM255B ENSG00000184497 ZDHHC22 ENSG00000177108 TMEM239 ENSG00000198326 NLGN4Y ENSG00000165246 ABCA5 ENSG00000154265 CLEC6A ENSG00000205846 TMEM143 ENSG00000161558 CX3CL1 ENSG00000006210 ACKR2 ENSG00000144648 OR2A1 ENSG00000221970 KIR2DL5A ENSG00000276392 GPR25 ENSG00000170128 TMEM44 ENSG00000145014 C6orf10 ENSG00000204296 OR1D2 ENSG00000184166 IGSF23 ENSG00000216588 CSMD1 ENSG00000183117 CDSN ENSG00000237123 HCN3 ENSG00000263324 MAMDC4 ENSG00000177943 SIGLEC5 ENSG00000268500 DISP1 ENSG00000154309 OR10AD1 ENSG00000172640 NPIPB3 ENSG00000169246 GOLGA5 ENSG00000066455 HS3ST2 ENSG00000122254 OR4K17 ENSG00000176230 MAS1L ENSG00000234954 KIR3DS1 ENSG00000276498 G6PC3 ENSG00000141349 SLC13A2 ENSG00000007216 DEXI ENSG00000182108 ECSCR ENSG00000279686 PPAN-P2RY11 ENSG00000243207 CD3G ENSG00000160654 PIEZO2 ENSG00000154864 XYLT1 ENSG00000103489 RHBDD3 ENSG00000100263 PVRL2 ENSG00000130202 ATF7 ENSG00000170653 SGCE ENSG00000127990 RELL2 ENSG00000164620 CFTR ENSG00000001626 ADPRM ENSG00000170222 TPTE ENSG00000274391 OXER1 ENSG00000162881 CST9 ENSG00000173335 C5orf28 ENSG00000151881 OR10K1 ENSG00000173285 ADCY2 ENSG00000078295 TAS1R1 ENSG00000173662 PRDX4 ENSG00000123131 GRAMD1B ENSG00000023171 CD53 ENSG00000143119 GRM8 ENSG00000179603 SLC44A4 ENSG00000229077 CACNG2 ENSG00000166862 ATP2B4 ENSG00000058668 AOC2 ENSG00000131480 MOG ENSG00000236561 ATRAID ENSG00000138085 ABCA9 ENSG00000154258 TMEM70 ENSG00000175606 EPHA3 ENSG00000044524 ECSCR ENSG00000249751 LILRB2 ENSG00000274513 TMEM87B ENSG00000153214 HCRTR2 ENSG00000137252 OR2B3 ENSG00000226832 BTNL2 ENSG00000225845 ICMT ENSG00000116237 ATP4B ENSG00000186009 KIAA0195 ENSG00000177728 TFRC ENSG00000072274 IL12RB1 ENSG00000096996 C5orf60 ENSG00000204661 FMR1NB ENSG00000176988 HTR1B ENSG00000135312 CLGN ENSG00000153132 OR4F4 ENSG00000177693 E2F5 ENSG00000133740 KCNJ15 ENSG00000157551 DCC ENSG00000187323 CYP4B1 ENSG00000142973 SLC30A4 ENSG00000104154 LMBRD2 ENSG00000164187 TUSC5 ENSG00000184811 HLA-DPA1 ENSG00000236177 GPR173 ENSG00000184194 SEMA3D ENSG00000153993 SP4 ENSG00000105866 SEMA4F ENSG00000135622 GTF3C3 ENSG00000119041 TMEM262 ENSG00000187066 WNT9A ENSG00000143816 LEPR ENSG00000116678 ZNF98 ENSG00000197360 DDR1 ENSG00000137332 OR13C5 ENSG00000277556 KCNH5 ENSG00000140015 PLIN5 ENSG00000214456 SPCS1 ENSG00000114902 SCNN1D ENSG00000162572 ZFPL1 ENSG00000162300 ENSG00000255439 CTAGE8 ENSG00000244693 MUSK ENSG00000030304 OR10T2 ENSG00000186306 ZDHHC2 ENSG00000104219 FCAR ENSG00000273738 SCG2 ENSG00000171951 OR10K2 ENSG00000180708 TMEM199 ENSG00000244045 IL20RB ENSG00000174564 PRTG ENSG00000166450 KCNN1 ENSG00000105642 OR4M2 ENSG00000274102 SMIM24 ENSG00000095932 SIGLEC14 ENSG00000254415 GPR65 ENSG00000140030 PMP22 ENSG00000109099 SLC27A3 ENSG00000143554 ST6GALNAC4 ENSG00000136840 TAS2R3 ENSG00000127362 RRM1 ENSG00000167325 CD40LG ENSG00000102245 RNF145 ENSG00000145860 PTPRA ENSG00000132670 MDK ENSG00000110492 MLC1 ENSG00000100427 SIGMAR1 ENSG00000147955 MOG ENSG00000137345 HLA-G ENSG00000204632 KIR3DL3 ENSG00000277028 KCNJ18 ENSG00000260458 SORCS3 ENSG00000156395 VMP1 ENSG00000062716 ART3 ENSG00000156219 CLEC1A ENSG00000150048 PXYLP1 ENSG00000155893 TMEM52 ENSG00000178821 FCRL6 ENSG00000181036 CSF1 ENSG00000184371 TMEM248 ENSG00000106609 MC2R ENSG00000185231 EXTL1 ENSG00000158008 PNPLA7 ENSG00000130653 MEGF6 ENSG00000162591 SEC11A ENSG00000140612 RFT1 ENSG00000163933 NTRK2 ENSG00000148053 XPR1 ENSG00000143324 GPR124 ENSG00000020181 CCL5 ENSG00000271503 SLC10A5 ENSG00000253598 ENSG00000259916 CELSR3 ENSG00000008300 KIR3DL1 ENSG00000273518 ATP8A2 ENSG00000132932 TMEM254 ENSG00000133678 MICA ENSG00000233051 OR6C65 ENSG00000205328 KIR2DL1 ENSG00000278738 GPR114 ENSG00000159618 TM7SF3 ENSG00000064115 XYLT2 ENSG00000015532 CDHR5 ENSG00000099834 FIBCD1 ENSG00000130720 FAM209B ENSG00000213714 CYP2F1 ENSG00000197446 SLC30A5 ENSG00000145740 PCDHA9 ENSG00000204961 EPSTI1 ENSG00000133106 TMEM222 ENSG00000186501 ADIPOR2 ENSG00000006831 TLR5 ENSG00000187554 ERGIC1 ENSG00000113719 CES5A ENSG00000261972 CHCHD3 ENSG00000106554 PKD1 ENSG00000008710 MFSD3 ENSG00000167700 TMX2-CTNND1 ENSG00000254462 TSPAN8 ENSG00000127324 DNAJC18 ENSG00000170464 OR2J3 ENSG00000206522 HRK ENSG00000135116 C15orf48 ENSG00000166920 MICA ENSG00000231225 SLC27A2 ENSG00000140284 GALNS ENSG00000141012 OR4N5 ENSG00000184394 HS6ST2 ENSG00000171004 FAM134A ENSG00000144567 MPPE1 ENSG00000154889 ENSG00000206463 ABCB6 ENSG00000115657 CST3 ENSG00000101439 MFSD9 ENSG00000135953 ICAM3 ENSG00000076662 FTO ENSG00000140718 HLA-DPB1 ENSG00000230708 COX10 ENSG00000006695 GRIA1 ENSG00000155511 CLPTM1 ENSG00000104853 UGT2B7 ENSG00000171234 GPR42 ENSG00000126251 SCAMP5 ENSG00000198794 OR10R2 ENSG00000198965 PTPN2 ENSG00000175354 FCRL5 ENSG00000143297 PCDHA1 ENSG00000204970 FZD6 ENSG00000164930 OR6Y1 ENSG00000197532 SLC10A2 ENSG00000125255 ATG9B ENSG00000181652 OR13C2 ENSG00000276119 COX18 ENSG00000163626 GJC3 ENSG00000176402 OR6P1 ENSG00000186440 WDR83OS ENSG00000105583 OR2H1 ENSG00000232984 GAL3ST2 ENSG00000154252 SLC17A8 ENSG00000179520 FAM171A1 ENSG00000148468 VSTM2B ENSG00000187135 ST8SIA2 ENSG00000140557 OR10X1 ENSG00000279111 WSCD1 ENSG00000179314 LPAR6 ENSG00000139679 MFSD2B ENSG00000205639 CYB5R2 ENSG00000166394 CLCA2 ENSG00000137975 SPINK2 ENSG00000128040 TNC ENSG00000041982 FAM174B ENSG00000185442 C2orf83 ENSG00000042304 LPAR5 ENSG00000184574 KCNMA1 ENSG00000156113 OR2V1 ENSG00000185372 IYD ENSG00000009765 NEU1 ENSG00000223957 FAM210A ENSG00000177150 SMPD1 ENSG00000166311 ACPT ENSG00000142513 GPR141 ENSG00000187037 HCN1 ENSG00000164588 NPFFR1 ENSG00000148734 SLC7A11 ENSG00000151012 RHBDL3 ENSG00000141314 HTR1E ENSG00000168830 RPN1 ENSG00000163902 ENSG00000231350 SEMA4D ENSG00000187764 THOC3 ENSG00000051596 MRGPRE ENSG00000184350 OPN4 ENSG00000122375 SLC4A3 ENSG00000114923 SPAST ENSG00000021574 C19orf24 ENSG00000228300 MARCH4 ENSG00000144583 IL3RA ENSG00000185291 TSPAN9 ENSG00000011105 MTNR1B ENSG00000134640 PFKP ENSG00000067057 TMC3 ENSG00000188869 SLC19A1 ENSG00000173638 CSMD3 ENSG00000164796 SLC35D3 ENSG00000182747 CKLF-CMTM1 ENSG00000254788 HAS3 ENSG00000103044 TNFRSF10A ENSG00000104689 CRHR2 ENSG00000106113 OR10Z1 ENSG00000198967 OR4N4 ENSG00000183706 FFAR4 ENSG00000186188 SUSD4 ENSG00000143502 LAX1 ENSG00000122188 TMED9 ENSG00000184840 HLA-DPB1 ENSG00000226826 TRPM8 ENSG00000144481 KCNB1 ENSG00000158445 SLC7A5 ENSG00000103257 ATP8B2 ENSG00000143515 FAM198A ENSG00000144649 CADM2 ENSG00000175161 FCGRT ENSG00000104870 KIR2DL4 ENSG00000277076 FCAR ENSG00000186431 SLC6A16 ENSG00000063127 LTBR ENSG00000111321 PRUNE2 ENSG00000106772 ADORA3 ENSG00000121933 NDUFB11 ENSG00000147123 EPHA8 ENSG00000070886 CKLF ENSG00000217555 PTPRZ1 ENSG00000106278 KCNC3 ENSG00000131398 GPR137C ENSG00000180998 SLC31A1 ENSG00000136868 HIGD2A ENSG00000146066 FAM3A ENSG00000071889 CLEC2D ENSG00000069493 GRIK3 ENSG00000163873 SLC29A4 ENSG00000164638 PCDH15 ENSG00000150275 SLC38A2 ENSG00000134294 SCN8A ENSG00000196876 RBM41 ENSG00000089682 ZDHHC16 ENSG00000171307 ELP6 ENSG00000163832 DDR2 ENSG00000162733 OR2A42 ENSG00000212807 UNC93A ENSG00000112494 AGER ENSG00000229058 B4GALNT2 ENSG00000167080 MEGF10 ENSG00000145794 UGT2B11 ENSG00000213759 P2RY2 ENSG00000175591 SLC6A11 ENSG00000132164 BIK ENSG00000100290 TSNARE1 ENSG00000171045 SYNDIG1L ENSG00000183379 ITGB8 ENSG00000105855 OR9A4 ENSG00000258083 TMED4 ENSG00000158604 KIR3DL1 ENSG00000275786 NIPAL4 ENSG00000172548 NLGN3 ENSG00000196338 ATP8B4 ENSG00000104043 YIPF7 ENSG00000177752 GABRP ENSG00000094755 DRAM1 ENSG00000136048 SLC2A9 ENSG00000109667 MFSD2A ENSG00000168389 NEU1 ENSG00000227315 CLEC5A ENSG00000258227 CDH16 ENSG00000166589 SMDT1 ENSG00000183172 TMC8 ENSG00000167895 DHRS11 ENSG00000278535 PKD2L2 ENSG00000078795 LSR ENSG00000105699 LRRTM4 ENSG00000176204 CD9 ENSG00000010278 PDPN ENSG00000162493 C2CD5 ENSG00000111731 PECAM1 ENSG00000261371 SIGLEC8 ENSG00000105366 GPR139 ENSG00000180269 HLA-E ENSG00000233904 POMGNT1 ENSG00000085998 SHISA2 ENSG00000180730 ATP1A3 ENSG00000105409 PTRH2 ENSG00000141378 SHISA9 ENSG00000237515 SLC35E1 ENSG00000127526 MS4A13 ENSG00000204979 SLC12A7 ENSG00000113504 CD8B ENSG00000172116 IHH ENSG00000163501 TMEM136 ENSG00000181264 TMEM139 ENSG00000178826 NRM ENSG00000206484 GPR162 ENSG00000250510 CLEC4A ENSG00000111729 PRRT2 ENSG00000167371 KIAA1161 ENSG00000164976 PKD1L3 ENSG00000277481 SLC19A3 ENSG00000135917 MBOAT7 ENSG00000125505 HCN4 ENSG00000138622 SCAMP4 ENSG00000227500 NRG4 ENSG00000169752 GPR89A ENSG00000117262 OR10P1 ENSG00000175398 IFITM10 ENSG00000244242 IMPAD1 ENSG00000104331 AMFR ENSG00000159461 APLNR ENSG00000134817 FAM76B ENSG00000077458 TMEM45B ENSG00000151715 LINGO1 ENSG00000169783 GHRL ENSG00000157017 EPHA6 ENSG00000080224 SLC2A4 ENSG00000181856 NT5C3A ENSG00000122643 SUCNR1 ENSG00000198829 NCR3 ENSG00000236979 KIR2DS2 ENSG00000276139 ATP6AP1 ENSG00000071553 ARL10 ENSG00000175414 SPINK6 ENSG00000178172 CLN3 ENSG00000188603 CLPSL1 ENSG00000204140 LEPROT ENSG00000213625 ARSD ENSG00000006756 CDYL ENSG00000153046 GOLM1 ENSG00000135052 ART4 ENSG00000111339 CRB2 ENSG00000148204 DERL3 ENSG00000099958 LCLAT1 ENSG00000172954 MILR1 ENSG00000271605 BTNL2 ENSG00000226127 SLC35C1 ENSG00000181830 TMEM183A ENSG00000163444 ENSG00000259753 PON3 ENSG00000105852 GPR116 ENSG00000069122 WDR17 ENSG00000150627 GLT8D2 ENSG00000120820 CD3E ENSG00000198851 TRBV25-1 ENSG00000211751 ITLN2 ENSG00000158764 OCIAD1 ENSG00000109180 SMIM17 ENSG00000268182 TMEM229A ENSG00000234224 CDC27 ENSG00000004897 S1PR4 ENSG00000125910 HLA-DPB1 ENSG00000223865 ACSL1 ENSG00000151726 STX6 ENSG00000135823 OR4C15 ENSG00000181939 UBE2J1 ENSG00000198833 LTC4S ENSG00000213316 LILRA6 ENSG00000275539 ALG12 ENSG00000182858 HLA-DQB2 ENSG00000228813 GCNT4 ENSG00000176928 CLDND2 ENSG00000160318 CYP1B1 ENSG00000138061 LRP1 ENSG00000123384 SPI1 ENSG00000066336 CNR1 ENSG00000118432 FAM205A ENSG00000205108 LPCAT1 ENSG00000153395 RYK ENSG00000163785 LRRC3 ENSG00000160233 OR2B3 ENSG00000231319 ABCB11 ENSG00000276582 ENSG00000172901 BEST3 ENSG00000127325 TAP2 ENSG00000206299 VIPR1 ENSG00000114812 C10orf111 ENSG00000176236 TMEM179 ENSG00000258986 TMPRSS15 ENSG00000154646 HLA-A ENSG00000206503 SLC43A1 ENSG00000149150 KCNQ3 ENSG00000184156 OR7G1 ENSG00000161807 HLA-B ENSG00000232126 PCSK5 ENSG00000099139 PTPRH ENSG00000080031 C15orf27 ENSG00000169758 ENSG00000268790 PTGIR ENSG00000160013 APCDD1 ENSG00000154856 CYP8B1 ENSG00000180432 PCDHA6 ENSG00000081842 BTLA ENSG00000186265 PEX11G ENSG00000104883 SLC39A7 ENSG00000227402 NAAA ENSG00000138744 TMPRSS4 ENSG00000137648 GALNTL5 ENSG00000106648 TMEM189-UBE2V1 ENSG00000124208 CDIP1 ENSG00000089486 C2CD2L ENSG00000172375 CMKLR1 ENSG00000174600 C20orf173 ENSG00000125975 KCNU1 ENSG00000215262 CFAP54 ENSG00000188596 TRPV5 ENSG00000127412 CD34 ENSG00000174059 KIR2DS2 ENSG00000275735 ABCC1 ENSG00000103222 INSR ENSG00000171105 FUT1 ENSG00000174951 SYNDIG1 ENSG00000101463 CADM1 ENSG00000182985 TAS2R1 ENSG00000169777 TREM1 ENSG00000124731 GJB2 ENSG00000165474 OCSTAMP ENSG00000149635 BNIP1 ENSG00000113734 MYCT1 ENSG00000120279 AADAC ENSG00000114771 BAI1 ENSG00000181790 DRAXIN ENSG00000162490 KLRC4 ENSG00000183542 KIR2DL3 ENSG00000274952 IL5RA ENSG00000091181 ZDHHC5 ENSG00000156599 SLC7A6 ENSG00000103064 DRD3 ENSG00000151577 CTAGE9 ENSG00000236761 ELOVL2 ENSG00000197977 GPR45 ENSG00000135973 VCAM1 ENSG00000162692 C14orf180 ENSG00000184601 SLC28A2 ENSG00000137860 MR1 ENSG00000153029 FNDC9 ENSG00000172568 TRPC3 ENSG00000138741 SLC22A15 ENSG00000163393 C1orf101 ENSG00000179397 KIR3DL1 ENSG00000277272 CHST9 ENSG00000154080 CD6 ENSG00000013725 ZNF546 ENSG00000187187 GABBR1 ENSG00000232569 VANGL1 ENSG00000173218 P2RY10 ENSG00000078589 HS3ST5 ENSG00000249853 LGR6 ENSG00000133067 LRRC32 ENSG00000137507 ECM1 ENSG00000143369 XKR5 ENSG00000275591 HLA-DQA2 ENSG00000257473 MGAT2 ENSG00000168282 SDSL ENSG00000139410 TMEM82 ENSG00000162460 ULBP1 ENSG00000111981 OR5K1 ENSG00000232382 AGPAT6 ENSG00000158669 SLC9A3 ENSG00000066230 PILRA ENSG00000085514 SLC5A6 ENSG00000138074 SLC39A8 ENSG00000138821 ITGB3 ENSG00000259207 C11orf87 ENSG00000185742 ITPR1 ENSG00000150995 B3GALT4 ENSG00000235863 SLC8B1 ENSG00000089060 SLC2A13 ENSG00000151229 HHLA2 ENSG00000114455 MGAM ENSG00000257335 ENSG00000198843 OR2W1 ENSG00000229328 SMARCC1 ENSG00000173473 OR14J1 ENSG00000204695 OR52K2 ENSG00000181963 MRAP2 ENSG00000135324 FAM26E ENSG00000178033 WNT16 ENSG00000002745 HLA-DQB1 ENSG00000206237 EPHA7 ENSG00000135333 LY6D ENSG00000167656 LRRN2 ENSG00000170382 RAMP2 ENSG00000131477 ELFN2 ENSG00000166897 SLC25A33 ENSG00000171612 GLRB ENSG00000109738 ZDHHC14 ENSG00000175048 MGP ENSG00000111341 SFTPD ENSG00000133661 NPBWR1 ENSG00000183729 DUOX2 ENSG00000140279 RNF167 ENSG00000108523 NSDHL ENSG00000147383 CMTM1 ENSG00000089505 TAP1 ENSG00000226173 LSAMP ENSG00000185565 MSMB ENSG00000263639 HLA-DPB1 ENSG00000215048 KLRB1 ENSG00000111796 FAM19A2 ENSG00000198673 EPDR1 ENSG00000086289 SPCS2 ENSG00000118363 CD19 ENSG00000177455 PLA2G2A ENSG00000188257 CHRNA1 ENSG00000138435 SMDT1 ENSG00000272901 SCARB2 ENSG00000138760 GALR2 ENSG00000182687 OCLN ENSG00000197822 GCNT3 ENSG00000140297 ITGAL ENSG00000005844 BTC ENSG00000174808 SECTM1 ENSG00000141574 EEF1E1 ENSG00000124802 TSPAN10 ENSG00000182612 C9orf91 ENSG00000157693 MC3R ENSG00000124089 KIR3DL3 ENSG00000278490 DPAGT1 ENSG00000172269 HAVCR2 ENSG00000135077 PTCHD3 ENSG00000182077 OR2A4 ENSG00000180658 APOC2 ENSG00000234906 KIR3DL2 ENSG00000278758 TYRP1 ENSG00000107165 TMEM150C ENSG00000249242 HDAC2 ENSG00000196591 CCR7 ENSG00000126353 LY6G5C ENSG00000226404 B3GALT2 ENSG00000162630 MKKS ENSG00000125863 TMEM144 ENSG00000164124 KIAA1468 ENSG00000134444 ADCY5 ENSG00000173175 GALNT5 ENSG00000136542 MAL ENSG00000172005 PCDHA10 ENSG00000250120 FAM69B ENSG00000165716 SNN ENSG00000184602 KIR2DL4 ENSG00000275456 RECK ENSG00000122707 SLC39A7 ENSG00000224399 ALG8 ENSG00000159063 FA2H ENSG00000103089 SCNN1A ENSG00000111319 FMNL1 ENSG00000184922 DEFB133 ENSG00000214643 TMEM47 ENSG00000147027 GPR26 ENSG00000154478 OR52K1 ENSG00000196778 CLEC4C ENSG00000198178 XKR7 ENSG00000260903 SPAG9 ENSG00000008294 SLITRK3 ENSG00000121871 SMCO3 ENSG00000179256 JAM2 ENSG00000154721 SPAM1 ENSG00000106304 NHLRC3 ENSG00000188811 PCDH20 ENSG00000197991 UMODL1 ENSG00000177398 KIR2DS1 ENSG00000275921 TRBV28 ENSG00000211753 SLC25A2 ENSG00000120329 HLA-G ENSG00000233095 BFAR ENSG00000103429 SRPRB ENSG00000144867 FAM105A ENSG00000145569 OR51E2 ENSG00000167332 IER3IP1 ENSG00000134049 TRPV1 ENSG00000262304 IL17RC ENSG00000163702 VAMP3 ENSG00000049245 PCDH20 ENSG00000280165 TMEM191B ENSG00000278558 ABCA2 ENSG00000107331 UGCG ENSG00000148154 GPR158 ENSG00000151025 POPDC2 ENSG00000121577 DPY19L3 ENSG00000178904 KCNS1 ENSG00000124134 FAM26D ENSG00000164451 SLC25A34 ENSG00000162461 SMIM5 ENSG00000204323 CHST13 ENSG00000180767 OR4C16 ENSG00000279514 DPY19L4 ENSG00000156162 NRP1 ENSG00000099250 TRHDE ENSG00000072657 PRRT1 ENSG00000225141 PIGP ENSG00000185808 UGT2B10 ENSG00000109181 G6PC ENSG00000131482 SMIM19 ENSG00000176209 B3GALT4 ENSG00000236802 SLC4A11 ENSG00000088836 TMEM180 ENSG00000138111 KIR2DL4 ENSG00000278201 PTPRK ENSG00000152894 PLXNA2 ENSG00000076356 EIF2AK3 ENSG00000172071 KRTAP19-6 ENSG00000186925 KLHDC7A ENSG00000179023 FGF10 ENSG00000070193 ZNF138 ENSG00000197008 FLT3 ENSG00000122025 SERP1 ENSG00000120742 OR1L4 ENSG00000136939 MRC2 ENSG00000011028 SPTSSB ENSG00000196542 VNN2 ENSG00000112303 IER3IP1 ENSG00000267228 TGFBR3 ENSG00000069702 EVA1C ENSG00000166979 SNAP23 ENSG00000092531 OR1L6 ENSG00000171459 AVPR2 ENSG00000126895 OR4F21 ENSG00000176269 CSGALNACT2 ENSG00000169826 OR2V2 ENSG00000182613 SERF1A ENSG00000172058 PILRB ENSG00000121716 KLRK1 ENSG00000213809 KRTAP19-7 ENSG00000244362 KIR2DL3 ENSG00000277554 FNDC5 ENSG00000160097 KLRG1 ENSG00000139187 MRGPRX1 ENSG00000170255 ZNF66 ENSG00000275050 ELSPBP1 ENSG00000169393 TRBC2 ENSG00000211772 STX8 ENSG00000170310 FAM19A5 ENSG00000219438 CYP4X1 ENSG00000186377 CYP26C1 ENSG00000187553 HLA-DRB1 ENSG00000206240 RRM2B ENSG00000048392 MMP14 ENSG00000157227 SMIM6 ENSG00000259120 GRIA3 ENSG00000125675 SCNN1B ENSG00000168447 STRADB ENSG00000082146 GPR156 ENSG00000175697 ZDHHC19 ENSG00000163958 AQP4 ENSG00000171885 CHST11 ENSG00000171310 KIR2DL2 ENSG00000275546 CLN6 ENSG00000128973 GRAMD1A ENSG00000089351 ITM2A ENSG00000078596 SLC48A1 ENSG00000211584 NFAM1 ENSG00000235568 RRH ENSG00000180245 DDB1 ENSG00000167986 SLC40A1 ENSG00000138449 WNT3 ENSG00000108379 BBS4 ENSG00000140463 PHLDB2 ENSG00000144824 A4GALT ENSG00000128274 IFITM5 ENSG00000206013 MARCH6 ENSG00000145495 TMED7 ENSG00000134970 ATP5G2 ENSG00000135390 SLC23A3 ENSG00000213901 NPY4R ENSG00000204174 DEFB114 ENSG00000177684 EMC3 ENSG00000125037 FAM171B ENSG00000144369 HLA-DQB2 ENSG00000229493 VAMP1 ENSG00000139190 SLC10A3 ENSG00000126903 MUC1 ENSG00000185499 SFT2D1 ENSG00000198818 KCNC4 ENSG00000116396 AMIGO2 ENSG00000139211 APOL6 ENSG00000221963 TMEM57 ENSG00000204178 PSMD8 ENSG00000099341 CLDN4 ENSG00000189143 CLEC4E ENSG00000166523 TMEM206 ENSG00000065600 TMEM60 ENSG00000135211 TWSG1 ENSG00000128791 PPT2 ENSG00000228116 GPR153 ENSG00000158292 CD81 ENSG00000110651 PTPLA ENSG00000165996 PDE3B ENSG00000152270 STX1B ENSG00000099365 TAAR6 ENSG00000146383 TAAR9 ENSG00000237110 SLC2A2 ENSG00000163581 TMEM151B ENSG00000178233 TNFSF14 ENSG00000125735 MEP1B ENSG00000141434 DPP4 ENSG00000197635 KCNJ8 ENSG00000121361 ASTN2 ENSG00000148219 TAP1 ENSG00000232367 LRP12 ENSG00000147650 IFNGR2 ENSG00000159128 KLB ENSG00000134962 SOGA3 ENSG00000255330 ENSG00000269881 KIAA0408 ENSG00000255330 SPX ENSG00000134548 ALCAM ENSG00000170017 PI3 ENSG00000124102 SLC25A4 ENSG00000151729 UTP18 ENSG00000011260 ABCA7 ENSG00000064687 RNF112 ENSG00000128482 TTYH1 ENSG00000276537 ACKR3 ENSG00000144476 CPT1C ENSG00000169169 LPAR4 ENSG00000147145 TAAR8 ENSG00000146385 SLC26A5 ENSG00000170615 YIPF3 ENSG00000137207 GOSR2 ENSG00000108433 BNIP2 ENSG00000140299 HTR1D ENSG00000179546 TRPV1 ENSG00000196689 APOB ENSG00000084674 KIR2DL1 ENSG00000277616 LIPF ENSG00000182333 UPK3B ENSG00000243566 TMC6 ENSG00000141524 CANX ENSG00000127022 APOO ENSG00000184831 IGSF6 ENSG00000140749 MTCH1 ENSG00000137409 GNPTAB ENSG00000111670 VAPB ENSG00000124164 VRK2 ENSG00000028116 TXNDC16 ENSG00000087301 SLC2A14 ENSG00000173262 CRISPLD2 ENSG00000103196 SLC5A9 ENSG00000117834 TMEM95 ENSG00000182896 RPRML ENSG00000179673 ABHD13 ENSG00000139826 OR52M1 ENSG00000197790 HLA-DPA1 ENSG00000224103 MFSD6L ENSG00000185156 DUOXA1 ENSG00000140254 KIR3DL3 ENSG00000276875 PCMT1 ENSG00000120265 BMP2 ENSG00000125845 TNF ENSG00000232810 PNPLA2 ENSG00000177666 OR2J3 ENSG00000233618 VSIG8 ENSG00000243284 OR5C1 ENSG00000148215 NEU1 ENSG00000204386 DRD5 ENSG00000169676 TMCC3 ENSG00000057704 F3 ENSG00000117525 LILRB5 ENSG00000273991 SLC39A12 ENSG00000148482 IL11RA ENSG00000137070 SMIM14 ENSG00000163683 PDGFRA ENSG00000134853 PPY ENSG00000108849 GJB6 ENSG00000121742 TMEM184B ENSG00000198792 CCR9 ENSG00000173585 MOGS ENSG00000115275 ENSG00000272916 OR51D1 ENSG00000197428 KIR2DS4 ENSG00000275731 TMED1 ENSG00000099203 SMIM15 ENSG00000188725 UBE3A ENSG00000114062 PIGO ENSG00000165282 FLRT3 ENSG00000125848 GLB1L2 ENSG00000149328 PLBD2 ENSG00000151176 SLC18B1 ENSG00000146409 SDC1 ENSG00000115884 TMEM27 ENSG00000147003 SLC23A2 ENSG00000089057 SLC20A2 ENSG00000168575 HTRA4 ENSG00000169495 GPR142 ENSG00000257008 ASAH2 ENSG00000188611 HLA-F ENSG00000235220 HLA-DPB1 ENSG00000229295 ITFG3 ENSG00000167930 TMEM50B ENSG00000142188 KIR3DL1 ENSG00000278427 SHISA8 ENSG00000234965 FCAR ENSG00000278415 CTSZ ENSG00000101160 RNF185 ENSG00000138942 CXCL11 ENSG00000169248 KCNH2 ENSG00000055118 PIEZO1 ENSG00000103335 CYP3A7 ENSG00000160870 PPAPDC3 ENSG00000160539 TAP1 ENSG00000224212 NUCB1 ENSG00000104805 ITGA2B ENSG00000005961 HLA-DPA1 ENSG00000231389 REEP5 ENSG00000129625 PEX11B ENSG00000131779 CDH24 ENSG00000139880 SV2C ENSG00000122012 IL15RA ENSG00000134470 WDR33 ENSG00000136709 SLC9A4 ENSG00000180251 C14orf2 ENSG00000156411 KIR2DP1 ENSG00000276468 TAP2 ENSG00000232326 NDRG4 ENSG00000103034 GPRC6A ENSG00000173612 FAM3C ENSG00000196937 WRB ENSG00000182093 LGI2 ENSG00000153012 DEAF1 ENSG00000177030 DNAJC15 ENSG00000120675 ZDHHC3 ENSG00000163812 GPR174 ENSG00000147138 HYOU1 ENSG00000149428 TMEM14C ENSG00000111843 GREM1 ENSG00000166923 SERINC1 ENSG00000111897 GALNT6 ENSG00000139629 TAAR5 ENSG00000135569 ATP2A1 ENSG00000196296 NINJ2 ENSG00000171840 TMEM106C ENSG00000134291 OR56B4 ENSG00000180919 C12orf73 ENSG00000204954 TMPRSS2 ENSG00000184012 OR7D4 ENSG00000174667 SOGA3 ENSG00000214338 OR13D1 ENSG00000179055 OR52B2 ENSG00000255307 CYBRD1 ENSG00000071967 HLA-A ENSG00000223980 DPCR1 ENSG00000257232 SLAMF8 ENSG00000158714 DLK2 ENSG00000171462 LY6G5C ENSG00000111971 CD44 ENSG00000026508 BCHE ENSG00000114200 A3GALT2 ENSG00000184389 LYSMD3 ENSG00000176018 IFITM3 ENSG00000142089 KDR ENSG00000128052 KIR3DL3 ENSG00000277620 ENSG00000272442 PTGDR2 ENSG00000183134 OR2W1 ENSG00000204704 SUSD3 ENSG00000157303 OR2J2 ENSG00000234746 CHST10 ENSG00000115526 CEACAM18 ENSG00000213822 AKAP1 ENSG00000121057 RNF5 ENSG00000204308 ELOVL1 ENSG00000066322 OR4C11 ENSG00000172188 MERTK ENSG00000153208 TOR2A ENSG00000160404 ITGAV ENSG00000138448 FXYD1 ENSG00000266964 FAM3B ENSG00000183844 HUWE1 ENSG00000086758 SLC2A1 ENSG00000117394 MAN1C1 ENSG00000117643 DNAJC5G ENSG00000163793 ENPEP ENSG00000138792 DPCR1 ENSG00000168631 TGFBI ENSG00000120708 ZNF66 ENSG00000160229 OPN3 ENSG00000054277 SLC35D2 ENSG00000130958 SDK2 ENSG00000069188 CD86 ENSG00000114013 OR52A5 ENSG00000171944 EPHB3 ENSG00000182580 OR4P4 ENSG00000181927 UBXN8 ENSG00000104691 GPR176 ENSG00000166073 EXT1 ENSG00000182197 SIGLEC12 ENSG00000254521 TIMM22 ENSG00000177370 NDUFA4 ENSG00000189043 PCDH19 ENSG00000165194 HELZ ENSG00000198265 SLC34A3 ENSG00000198569 OR4C46 ENSG00000185926 OR52Z1 ENSG00000176748 TMBIM6 ENSG00000139644 CCL4 ENSG00000275302 DLK1 ENSG00000185559 GALNT3 ENSG00000115339 CDH23 ENSG00000107736 SIL1 ENSG00000120725 NCMAP ENSG00000184454 RNF217 ENSG00000146373 SCN10A ENSG00000185313 SVOPL ENSG00000157703 PCDH17 ENSG00000118946 LPHN3 ENSG00000150471 TNFRSF9 ENSG00000049249 PPP1R3A ENSG00000154415 CDH4 ENSG00000179242 LILRB5 ENSG00000278437 CNEP1R1 ENSG00000205423 OR2B2 ENSG00000168131 KIR2DL4 ENSG00000275317 PARM1 ENSG00000169116 GPR98 ENSG00000164199 MICA ENSG00000235233 HMOX2 ENSG00000103415 TMEM200B ENSG00000253304 USP27X ENSG00000273820 TPST2 ENSG00000128294 DPP10 ENSG00000175497 ACSL5 ENSG00000197142 STAG3L5P-PVRIG2P-PILRB ENSG00000272752 DNAJC25 ENSG00000059769 TOMM7 ENSG00000196683 AVPR1A ENSG00000166148 OTOL1 ENSG00000182447 OR4K5 ENSG00000176281 FAM24A ENSG00000203795 TAPBP ENSG00000231925 WDR19 ENSG00000157796 G6PC2 ENSG00000278373 SLC8A1 ENSG00000183023 GPR161 ENSG00000143147 KIR2DL3 ENSG00000273947 PATE3 ENSG00000236027 ABCA13 ENSG00000179869 OR2W1 ENSG00000234101 PRSS45 ENSG00000188086 TMEM51 ENSG00000171729 DNAJC1 ENSG00000136770 LAMP5 ENSG00000125869 MBOAT2 ENSG00000143797 PRPH2 ENSG00000112619 SLC22A13 ENSG00000172940 RNASEK-C17orf49 ENSG00000161939 MEST ENSG00000106484 COLQ ENSG00000206561 SLCO3A1 ENSG00000176463 ERVV-2 ENSG00000268964 OR2J3 ENSG00000233636 ST6GALNAC5 ENSG00000117069 GPR88 ENSG00000181656 ABCC10 ENSG00000124574 IFNL3 ENSG00000197110 SEZ6 ENSG00000063015 IL20RA ENSG00000016402 GPR68 ENSG00000119714 TAS2R38 ENSG00000257138 TMEM14E ENSG00000221962 RARRES3 ENSG00000133321 PARL ENSG00000175193 YIPF2 ENSG00000130733 EOGT ENSG00000163378 APLF ENSG00000169621 TGFB2 ENSG00000092969 GABRR3 ENSG00000183185 GPR82 ENSG00000171657 XXYLT1 ENSG00000173950 GYPB ENSG00000250361 SYNE4 ENSG00000181392 CHRND ENSG00000135902 ATP6V0E2 ENSG00000171130 CT83 ENSG00000204019 CGA ENSG00000135346 KIR2DL4 ENSG00000274193 OR52A1 ENSG00000182070 OR1N1 ENSG00000171505 SMIM3 ENSG00000256235 OR51V1 ENSG00000176742 HLA-DOB ENSG00000243496 SLC26A6 ENSG00000225697 TMEM163 ENSG00000152128 MRGPRX4 ENSG00000179817 FGFR1 ENSG00000077782 ATP2B1 ENSG00000070961 VANGL2 ENSG00000162738 KCNH8 ENSG00000183960 BTN2A2 ENSG00000124508 LPAR3 ENSG00000171517 CCL4L1 ENSG00000276070 KCNT2 ENSG00000162687 LST1 ENSG00000235915 GYPE ENSG00000197465 ST3GAL1 ENSG00000008513 TMPRSS12 ENSG00000186452 MEMO1 ENSG00000162959 SDC4 ENSG00000124145 TIMMDC1 ENSG00000113845 RPL37A ENSG00000197756 GPR12 ENSG00000132975 COL11A2 ENSG00000227801 CMTM2 ENSG00000140932 LILRB2 ENSG00000276146 IL1RL2 ENSG00000115598 FUT2 ENSG00000176920 PCDH1 ENSG00000156453 RTN2 ENSG00000125744 EBP ENSG00000147155 OR2J2 ENSG00000226000 FBN2 ENSG00000138829 CYP7A1 ENSG00000167910 GPR62 ENSG00000180929 UTS2R ENSG00000181408 SOAT2 ENSG00000167780 CRELD1 ENSG00000163703 RGR ENSG00000148604 CALN1 ENSG00000183166 PODXL2 ENSG00000114631 ELOVL5 ENSG00000012660 KIAA0040 ENSG00000235750 KIR2DL1 ENSG00000275750 TMEM237 ENSG00000155755 UGT2A2 ENSG00000271271 TSPAN16 ENSG00000130167 SLC35G5 ENSG00000177710 HAS1 ENSG00000105509 SFXN1 ENSG00000164466 ACE2 ENSG00000130234 OR6K6 ENSG00000180433 TCTN2 ENSG00000168778 NAT8L ENSG00000185818 GPBAR1 ENSG00000179921 CLEC10A ENSG00000132514 FADS3 ENSG00000221968 DNER ENSG00000187957 CAV1 ENSG00000105974 SLC22A23 ENSG00000137266 SPATA31A5 ENSG00000276581 TRPM3 ENSG00000083067 CD74 ENSG00000019582 CCL24 ENSG00000106178 SLC30A3 ENSG00000115194 TRPC6 ENSG00000137672 KIR3DS1 ENSG00000274283 SLC25A45 ENSG00000162241 SAYSD1 ENSG00000112167 HLA-DQA2 ENSG00000225103 SLC4A4 ENSG00000080493 KNCN ENSG00000162456 HLA-A ENSG00000235657 SFT2D3 ENSG00000173349 CD80 ENSG00000121594 CYP2D7 ENSG00000205702 FAM198B ENSG00000164125 BDNF ENSG00000176697 KMO ENSG00000117009 LMF2 ENSG00000100258 OR7A10 ENSG00000127515 MMP20 ENSG00000137674 PTH1R ENSG00000160801 UGT2A1 ENSG00000173610 OR1N2 ENSG00000171501 CNTNAP2 ENSG00000174469 GALNT4 ENSG00000257594 BCAP31 ENSG00000185825 CDHR4 ENSG00000187492 OR11A1 ENSG00000204694 DCHS1 ENSG00000166341 PKDCC ENSG00000162878 LTK ENSG00000062524 KCNQ2 ENSG00000075043 TMEM125 ENSG00000179178 SLC39A11 ENSG00000133195 SLC22A1 ENSG00000175003 CYP2D7 ENSG00000263181 OR1L8 ENSG00000171496 GOLIM4 ENSG00000173905 COL11A2 ENSG00000230930 EFNB3 ENSG00000108947 OR6K2 ENSG00000196171 TMEM14B ENSG00000137210 CDIPT ENSG00000103502 CDH19 ENSG00000071991 CXCL10 ENSG00000169245 CACNA1S ENSG00000081248 FAT3 ENSG00000165323 OR4F16 ENSG00000273547 CECR1 ENSG00000093072 ST6GALNAC3 ENSG00000184005 TRPM1 ENSG00000134160 NRSN2 ENSG00000125841 OR6K3 ENSG00000203757 TRIL ENSG00000255690 TAS1R2 ENSG00000179002 ZDHHC11B ENSG00000206077 SFT2D2 ENSG00000213064 CD99L2 ENSG00000102181 OR12D2 ENSG00000280236 GRIA4 ENSG00000152578 MAOB ENSG00000069535 TMEM72 ENSG00000187783 TNFSF12 ENSG00000239697 CNGA1 ENSG00000198515 OR7A17 ENSG00000185385 P2RX4 ENSG00000135124 DPCR1 ENSG00000232251 C3AR1 ENSG00000171860 FAM20A ENSG00000108950 PTPRCAP ENSG00000213402 ACER1 ENSG00000167769 HLA-DPA1 ENSG00000228163 WFDC10A ENSG00000180305 CLEC17A ENSG00000187912 UGT2B4 ENSG00000156096 SEMA4A ENSG00000196189 FZD10 ENSG00000111432 KIR3DL1 ENSG00000274146 ORAI1 ENSG00000276045 SLC6A5 ENSG00000165970 PRADC1 ENSG00000135617 TMEM196 ENSG00000173452 CCDC168 ENSG00000175820 NRK ENSG00000123572 KDELR2 ENSG00000136240 SLCO1B1 ENSG00000134538 FCN2 ENSG00000160339 HLA-C ENSG00000237022 GDPD5 ENSG00000158555 OR11H2 ENSG00000258453 TMEM203 ENSG00000187713 KIR2DL4 ENSG00000274945 ATP7A ENSG00000165240 SLC5A8 ENSG00000262217 UNC93B1 ENSG00000110057 HLA-DRB3 ENSG00000196101 HLA-DQB1 ENSG00000206302 MPZL3 ENSG00000160588 OR2B3 ENSG00000233180 CLCC1 ENSG00000121940 OR5V1 ENSG00000243729 TMEM215 ENSG00000188133 LCN10 ENSG00000187922 SLC35G6 ENSG00000259224 NUP50 ENSG00000093000 TMEM5 ENSG00000118600 ATP10A ENSG00000206190 OR2J3 ENSG00000232178 SEC61G ENSG00000132432 ISLR2 ENSG00000167178 OR10C1 ENSG00000206474 SYS1 ENSG00000204070 RNF180 ENSG00000164197 PPT2 ENSG00000227600 GPR111 ENSG00000164393 GOSR1 ENSG00000108587 POM121 ENSG00000196313 S1PR2 ENSG00000267534 LRRC8A ENSG00000136802 CD151 ENSG00000177697 OR6N1 ENSG00000197403 NDRG2 ENSG00000165795 RNF128 ENSG00000133135 SLAMF6 ENSG00000162739 SLC10A6 ENSG00000145283 LDHA ENSG00000134333 TMEM8A ENSG00000129925 C6orf25 ENSG00000206396 ROBO3 ENSG00000154134 ASPH ENSG00000198363 TAP2 ENSG00000223481 GRIN2B ENSG00000273079 OR12D3 ENSG00000112462 FUT7 ENSG00000180549 B3GALT1 ENSG00000172318 IFNL4 ENSG00000272395 CDS1 ENSG00000163624 C19orf38 ENSG00000214212 EMP3 ENSG00000142227 ARL6IP5 ENSG00000144746 WFDC9 ENSG00000180205 KCNK10 ENSG00000100433 PTDSS1 ENSG00000156471 OR6N2 ENSG00000188340 DEFB103A ENSG00000176797 OR2G3 ENSG00000177476 CDSN ENSG00000204539 ITGB2 ENSG00000160255 KIR3DL2 ENSG00000278850 S100A10 ENSG00000197747 SELPLG ENSG00000110876 GRPR ENSG00000126010 OR10A5 ENSG00000166363 SLC2A12 ENSG00000146411 YIF1B ENSG00000167645 OR4F3 ENSG00000230178 ATL1 ENSG00000198513 OR13G1 ENSG00000197437 SLC31A2 ENSG00000136867 RGMA ENSG00000182175 NPB ENSG00000183979 NDFIP1 ENSG00000131507 UGT3A2 ENSG00000168671 BTN1A1 ENSG00000124557 ATP1A2 ENSG00000018625 SLC12A1 ENSG00000074803 PLA2G2D ENSG00000117215 DUOXA2 ENSG00000140274 GABRG3 ENSG00000182256 PPAP2A ENSG00000067113 KIR2DL5B ENSG00000278414 NOMO2 ENSG00000185164 KCNH3 ENSG00000135519 CLDN18 ENSG00000066405 UGT2A1 ENSG00000270386 FCRL4 ENSG00000163518 DIP2C ENSG00000151240 GPR39 ENSG00000183840 BTNL2 ENSG00000229741 LCAT ENSG00000213398 SLC22A9 ENSG00000149742 KRTAP19-1 ENSG00000184351 SLC25A18 ENSG00000182902 DEGS1 ENSG00000143753 CXCL16 ENSG00000161921 GFRAL ENSG00000187871 CNTN5 ENSG00000149972 SLC18A3 ENSG00000187714 NPDC1 ENSG00000107281 TAS2R7 ENSG00000121377 TCTA ENSG00000145022 OR2B3 ENSG00000225736 HLA-DRA ENSG00000230726 NPIPB4 ENSG00000185864 WBP1L ENSG00000166272 SPEM1 ENSG00000181323 CALHM2 ENSG00000138172 TDGF1 ENSG00000241186 OR52I2 ENSG00000226288 OR4Q3 ENSG00000182652 OR14K1 ENSG00000153230 CCR6 ENSG00000272980 MRGPRX3 ENSG00000179826 DNAJC5 ENSG00000101152 CSMD2 ENSG00000121904 TREML2 ENSG00000112195 TRPC5 ENSG00000072315 TMEM245 ENSG00000106771 OR2W1 ENSG00000226463 GPR89B ENSG00000188092 MFSD4 ENSG00000174514 CERS2 ENSG00000143418 RXFP2 ENSG00000133105 CD101 ENSG00000134256 TMEM205 ENSG00000105518 PYCR1 ENSG00000183010 CPXM2 ENSG00000121898 TMCC1 ENSG00000172765 KIR3DL2 ENSG00000277982 CHRNA2 ENSG00000120903 GPR115 ENSG00000153294 FLRT2 ENSG00000185070 HTR2A ENSG00000102468 CYB5B ENSG00000103018 HRH1 ENSG00000196639 CD320 ENSG00000167775 ADAM17 ENSG00000151694 MST1R ENSG00000164078 GYPA ENSG00000170180 LRRN4 ENSG00000125872 HLA-A ENSG00000231834 PAQR3 ENSG00000163291 OS9 ENSG00000135506 PIGC ENSG00000135845 OR2B3 ENSG00000233054 PPAPDC1A ENSG00000203805 SLC10A1 ENSG00000100652 SERINC3 ENSG00000132824 HLA-DQB2 ENSG00000196610 FTH1 ENSG00000167996 NOX3 ENSG00000074771 OR1D5 ENSG00000262628 KCNMB2 ENSG00000197584 KRTAP19-3 ENSG00000244025 MTX1 ENSG00000173171 OR52I1 ENSG00000232268 OR2G2 ENSG00000177489 CLCN7 ENSG00000103249 FAM189A1 ENSG00000104059 TMX1 ENSG00000139921 B3GAT1 ENSG00000109956 FUNDC2 ENSG00000165775 TRIM13 ENSG00000204977 USP48 ENSG00000090686 HBD ENSG00000223609 OR4N2 ENSG00000176294 DAGLB ENSG00000164535 FRMD3 ENSG00000172159 CACNA1D ENSG00000157388 SLC36A2 ENSG00000186335 ARMC10 ENSG00000170632 HMGCR ENSG00000113161 ZNF816 ENSG00000180257 KIAA0319L ENSG00000142687 C19orf26 ENSG00000099625 TMEM176A ENSG00000002933 FAR1 ENSG00000197601 OR4M1 ENSG00000176299 SARAF ENSG00000133872 SYS1-DBNDD2 ENSG00000254806 SELP ENSG00000174175 CEP95 ENSG00000258890 SLC30A10 ENSG00000196660 B4GALT4 ENSG00000121578 SCARB1 ENSG00000073060 BTN3A2 ENSG00000186470 SRD5A1 ENSG00000145545 NCR1 ENSG00000189430 COMTD1 ENSG00000165644 GRM6 ENSG00000113262 COX7A2 ENSG00000112695 SPTLC1 ENSG00000090054 EPCAM ENSG00000119888 DNAJC4 ENSG00000110011 NKG7 ENSG00000105374 MARCH2 ENSG00000099785 PROKR1 ENSG00000169618 KIR2DL4 ENSG00000277964 SLC46A2 ENSG00000119457 GABRR2 ENSG00000111886 STEAP1 ENSG00000164647 TM9SF1 ENSG00000100926 EMP1 ENSG00000134531 NGLY1 ENSG00000151092 CSPG5 ENSG00000114646 TAS2R8 ENSG00000272712 SLC1A4 ENSG00000115902 BR13BP ENSG00000184992 CNNM4 ENSG00000158158 FUT6 ENSG00000156413 FXYD7 ENSG00000221946 TMEM62 ENSG00000137842 OR6F1 ENSG00000169214 CD300LB ENSG00000178789 NPFFR2 ENSG00000056291 OR1G1 ENSG00000183024 RIC3 ENSG00000166405 ATP1B3 ENSG00000069849 MIEF2 ENSG00000177427 IL12RB2 ENSG00000081985 CDH15 ENSG00000129910 FZD2 ENSG00000180340 DLL4 ENSG00000128917 GPR37 ENSG00000170775 CYP4F12 ENSG00000186204 OR7C2 ENSG00000127529 CYP4F22 ENSG00000171954 TAS2R9 ENSG00000273086 SLC2A6 ENSG00000160326 ENSG00000170091 LGALS16 ENSG00000249861 CYP3A5 ENSG00000106258 COL14A1 ENSG00000187955 OR6C76 ENSG00000185821 BACE1 ENSG00000186318 CD300C ENSG00000167850 EFNB2 ENSG00000125266 TAP1 ENSG00000206297 PTTG1IP ENSG00000183255 NOX4 ENSG00000086991 BCAM ENSG00000187244 F2R ENSG00000181104 CACNG7 ENSG00000105605 MAS1L ENSG00000204687 TSPAN6 ENSG00000000003 P2RY4 ENSG00000186912 KCNMB2 ENSG00000275163 TSPAN3 ENSG00000140391 SLC32A1 ENSG00000101438 WLS ENSG00000116729 FAM132B ENSG00000178752 OR8H2 ENSG00000181767 LYPD1 ENSG00000150551 WFS1 ENSG00000109501 SLCO1B7 ENSG00000205754 GDPD2 ENSG00000130055 ZFYVE27 ENSG00000155256 SDCBP ENSG00000137575 PTGDR ENSG00000168229 ENTPD5 ENSG00000187097 OXA1L ENSG00000155463 BET1L ENSG00000177951 NIPAL1 ENSG00000163293 CEP120 ENSG00000168944 BCAP29 ENSG00000075790 MLN ENSG00000096395 SFXN4 ENSG00000183605 DHRS7 ENSG00000100612 PEMT ENSG00000133027 CEACAM1 ENSG00000079385 EPOR ENSG00000187266 HLA-DPA1 ENSG00000206291 ANO4 ENSG00000151572 MOGAT3 ENSG00000106384 C1orf159 ENSG00000131591 NCLN ENSG00000125912 VOPP1 ENSG00000154978 NAT10 ENSG00000135372 SLC39A4 ENSG00000147804 CCR6 ENSG00000112486 KIR2DS1 ENSG00000273517 COL11A2 ENSG00000235708 ACE ENSG00000159640 KIR3DL2 ENSG00000275629 ENSG00000272162 ENSG00000274243 CD79B ENSG00000007312 TECR ENSG00000099797 PFN2 ENSG00000070087 F11R ENSG00000158769 LY6G5C ENSG00000204428 ATP13A1 ENSG00000105726 HEPACAM ENSG00000165478 KIR2DL5A ENSG00000274676 MARCO ENSG00000019169 SLC12A4 ENSG00000124067 DDOST ENSG00000244038 SCAMP1 ENSG00000085365 UNC5D ENSG00000156687 ITGB7 ENSG00000139626 PRRT3 ENSG00000163704 CHRNB1 ENSG00000170175 PEX2 ENSG00000164751 PIGK ENSG00000142892 C19orf12 ENSG00000131943 PLN ENSG00000198523 CLDN20 ENSG00000171217 PCLO ENSG00000186472 LIFR ENSG00000113594 DPY19L2 ENSG00000177990 KIR2DS5 ENSG00000277650 STEAP2 ENSG00000157214 TNFSF13 ENSG00000161955 LAMP3 ENSG00000078081 HTRA2 ENSG00000115317 SLC22A3 ENSG00000146477 KIR3DL3 ENSG00000278723 KIR2DL2 ENSG00000278731 EXT2 ENSG00000151348 ADAMTS1 ENSG00000154734 RARG ENSG00000172819 CLDN22 ENSG00000177300 TDRKH ENSG00000182134 RHO ENSG00000163914 KRTAP20-4 ENSG00000206105 KIR3DL2 ENSG00000275511 ATP8B3 ENSG00000130270 SYT15 ENSG00000277758 TAS2R8 ENSG00000121314 PCNXL2 ENSG00000135749 BTNL8 ENSG00000113303 ARSJ ENSG00000180801 TMEM86B ENSG00000180089 DNAJC24 ENSG00000170946 ERMARD ENSG00000130023 CHPT1 ENSG00000111666 TM6SF1 ENSG00000136404 MAN1A1 ENSG00000111885 RNF149 ENSG00000163162 CD276 ENSG00000103855 FNDC3B ENSG00000075420 TMEM132A ENSG00000006118 SPPL2A ENSG00000138600 CD24 ENSG00000272398 OPN1MW ENSG00000268221 GRAMD1C ENSG00000178075 SCN3B ENSG00000166257 JPH3 ENSG00000154118 COX4I2 ENSG00000131055 PHTF1 ENSG00000116793 OR10A2 ENSG00000170790 OR56A5 ENSG00000188691 ARMCX3 ENSG00000102401 ESYT2 ENSG00000117868 SLC23A1 ENSG00000170482 SLC4A9 ENSG00000113073 TMEM80 ENSG00000177042 OR10G3 ENSG00000169208 CLDN1 ENSG00000163347 CYP1A2 ENSG00000140505 TMED6 ENSG00000157315 OR4F5 ENSG00000186092 SYT13 ENSG00000019505 CLCN3 ENSG00000109572 DCST2 ENSG00000163354 TMEM194B ENSG00000189362 OR56A3 ENSG00000184478 BAK1 ENSG00000030110 MRC1 ENSG00000260314 NCR3 ENSG00000236315 SACM1L ENSG00000211456 MMD ENSG00000108960 CCDC126 ENSG00000169193 SLCO1B3 ENSG00000111700 TMEM109 ENSG00000110108 NOTCH4 ENSG00000235396 HSD3B2 ENSG00000203859 HLA-DPB1 ENSG00000236693 GALNT14 ENSG00000158089 KIR2DL1 ENSG00000273794 SLC35C2 ENSG00000080189 NPIPA1 ENSG00000183426 WNT4 ENSG00000162552 HLA-C ENSG00000225691 C2CD2 ENSG00000157617 PRMT3 ENSG00000185238 CD84 ENSG00000066294 TMEM221 ENSG00000188051 GUCY2F ENSG00000101890 SHISA6 ENSG00000188803 ACP2 ENSG00000134575 SLC44A4 ENSG00000235336 OTOP2 ENSG00000183034 FAM163B ENSG00000196990 MANSC4 ENSG00000205693 OR5D14 ENSG00000186113 OR10A4 ENSG00000170782 NFASC ENSG00000163531 ATL2 ENSG00000119787 TMEM260 ENSG00000070269 TMEM176B ENSG00000106565 PCNXL4 ENSG00000126773 C17orf74 ENSG00000184560 KCNK9 ENSG00000169427 TLR4 ENSG00000136869 KCNJ16 ENSG00000153822 PGRMC1 ENSG00000101856 NAALADL1 ENSG00000168060 ENPP1 ENSG00000197594 KISS1R ENSG00000116014 TAS2R9 ENSG00000121381 BRICD5 ENSG00000182685 PLXNC1 ENSG00000136040 CLEC12A ENSG00000172322 MUC12 ENSG00000205277 NAT8 ENSG00000144035 PTCH1 ENSG00000185920 TMEM9 ENSG00000116857 MOG ENSG00000232641 ROS1 ENSG00000047936 BTNL2 ENSG00000229597 SLC16A11 ENSG00000174326 CTAGE15 ENSG00000271079 HS3ST3B1 ENSG00000125430 CADM4 ENSG00000105767 B4GALT3 ENSG00000158850 BEST1 ENSG00000167995 CCDC80 ENSG00000091986 RNF13 ENSG00000082996 SLC38A8 ENSG00000166558 TIMD4 ENSG00000145850 ACVR1C ENSG00000123612 CLDN16 ENSG00000113946 SCN4A ENSG00000007314 HTR3B ENSG00000149305 KCNJ14 ENSG00000182324 KIR2DS3 ENSG00000275599 CISD2 ENSG00000145354 TIE1 ENSG00000066056 CXorf57 ENSG00000147231 CCDC51 ENSG00000164051 UBE2J2 ENSG00000160087 INPP4A ENSG00000040933 GPR15 ENSG00000154165 MLEC ENSG00000110917 KCNK12 ENSG00000184261 HCAR2 ENSG00000182782 EQTN ENSG00000120160 LYSMD4 ENSG00000183060 GPR182 ENSG00000166856 HCAR3 ENSG00000255398 GPR108 ENSG00000125734 LAT2 ENSG00000086730 C10orf54 ENSG00000107738 TMEM207 ENSG00000198398 COLEC12 ENSG00000158270 MARCH3 ENSG00000173926 LAIR1 ENSG00000274110 MFSD6 ENSG00000151690 MRGPRX2 ENSG00000183695 NRG2 ENSG00000158458 CD300LD ENSG00000204345 CNGA4 ENSG00000132259 OR1E1 ENSG00000180016 DLL3 ENSG00000090932 ACKR1 ENSG00000213088 P2RY1 ENSG00000169860 LTB ENSG00000227507 SCN4B ENSG00000177098 FAM69C ENSG00000187773 TMEM145 ENSG00000167619 SLC6A4 ENSG00000108576 IZUMO3 ENSG00000205442 PKD2 ENSG00000118762 TMPRSS5 ENSG00000166682 CPOX ENSG00000080819 KIR2DL5A ENSG00000276686 OR14A2 ENSG00000241128 MFSD8 ENSG00000164073 TMC4 ENSG00000273722 PDCD1 ENSG00000188389 LY6G6D ENSG00000236902 PLLP ENSG00000102934 TMEM218 ENSG00000150433 MSRB3 ENSG00000174099 NRROS ENSG00000174004 CDH20 ENSG00000101542 OR1C1 ENSG00000221888 ENSG00000230463 SSTR1 ENSG00000139874 SLN ENSG00000170290 KCND3 ENSG00000171385 CTXN2 ENSG00000233932 C9orf57 ENSG00000204669 TACR2 ENSG00000075073 PRAC2 ENSG00000229637 SDF2L1 ENSG00000128228 SLC9B1 ENSG00000164037 KIR3DL3 ENSG00000276572 SLC13A5 ENSG00000141485 OPN1SW ENSG00000128617 XCR1 ENSG00000173578 OR2C3 ENSG00000196242 SLCO4A1 ENSG00000101187 CD27 ENSG00000139193 NRG3 ENSG00000185737 NDST3 ENSG00000164100 C3orf52 ENSG00000114529 SLC43A2 ENSG00000167703 NPC1 ENSG00000141458 UGT1A6 ENSG00000167165 SIDT2 ENSG00000149577 CHRNG ENSG00000196811 OR8H3 ENSG00000181761 SLITRK2 ENSG00000185985 KCNK1 ENSG00000135750 VN1R2 ENSG00000196131 SIGLEC6 ENSG00000105492 MYADML2 ENSG00000185105 CADM3 ENSG00000162706 DPP8 ENSG00000074603 OR1B1 ENSG00000280094 VN1R4 ENSG00000228567 CLEC4G ENSG00000182566 CD99 ENSG00000002586 TAP2 ENSG00000204267 CA12 ENSG00000074410 GJD2 ENSG00000159248 SLC4A8 ENSG00000050438 ARL6IP6 ENSG00000177917 HLA-B ENSG00000224608 VAMP8 ENSG00000118640 PMEL ENSG00000185664 CD200R1 ENSG00000163606 CORIN ENSG00000145244 NDUFB4 ENSG00000065518 SLC25A44 ENSG00000160785 GXYLT2 ENSG00000172986 OR1Q1 ENSG00000165202 ROR1 ENSG00000185483 IL2RG ENSG00000147168 GDF9 ENSG00000164404 KIR2DL1 ENSG00000274692 SLC25A3 ENSG00000075415 ATP1B1 ENSG00000143153 ADRA2B ENSG00000274286 SYT2 ENSG00000143858 MARCH11 ENSG00000183654 TAPBPL ENSG00000139192 SLC27A5 ENSG00000083807 OLR1 ENSG00000173391 RNASEK ENSG00000219200 TMEM8B ENSG00000137103 FADS1 ENSG00000149485 OR7D2 ENSG00000188000 PIGX ENSG00000163964 OR4S2 ENSG00000174982 CLDND1 ENSG00000080822 SLC35F2 ENSG00000110660 TACSTD2 ENSG00000184292 ZDHHC4 ENSG00000136247 APOL2 ENSG00000128335 CLEC2B ENSG00000110852 SPINK13 ENSG00000214510 ACVR1B ENSG00000135503 KIR2DL3 ENSG00000275658 ENSG00000257743 ASGR2 ENSG00000161944 PPM1L ENSG00000163590 SPINT4 ENSG00000149651 ABCB11 ENSG00000073734 BNIP3L ENSG00000104765 ENSG00000261832 OR14A16 ENSG00000196772 HTR5A ENSG00000157219 OR52L1 ENSG00000183313 LRIG1 ENSG00000144749 HLA-DQB1 ENSG00000179344 NEU1 ENSG00000234846 RPS23 ENSG00000186468 LIM2 ENSG00000105370 CLDN2 ENSG00000165376 VSIG10 ENSG00000176834 TMEM161A ENSG00000064545 TVP23C ENSG00000175106 PANX1 ENSG00000110218 KIR2DS1 ENSG00000278304 LPHN2 ENSG00000117114 SCNN1G ENSG00000166828 FUT4 ENSG00000196371 KIR3DS1 ENSG00000276534 ST8SIA3 ENSG00000177511 OR2B6 ENSG00000124657 HLA-DPA1 ENSG00000235844 SLC44A3 ENSG00000143036 C14orf1 ENSG00000133935 NCR3LG1 ENSG00000188211 GPR125 ENSG00000152990 ZDHHC11 ENSG00000188818 GPRC5A ENSG00000013588 ATP6AP2 ENSG00000182220 ITGAD ENSG00000156886 CLMN ENSG00000165959 KCNJ1 ENSG00000151704 KIR2DL4 ENSG00000278271 KIR2DS4 ENSG00000274947 FAM159B ENSG00000145642 CTRB2 ENSG00000168928 CD8A ENSG00000153563 CDH3 ENSG00000062038 VTCN1 ENSG00000134258 SGPL1A5 ENSG00000119899 TMEM114 ENSG00000232258 PCNX ENSG00000100731 KCNMB1 ENSG00000145936 UGT1A9 ENSG00000241119 LPAR2 ENSG00000064547 PKD1L1 ENSG00000158683 GPATCH2L ENSG00000089916 GPR27 ENSG00000170837 VSTM1 ENSG00000275962 FCAR ENSG00000275136 SLC35F3 ENSG00000183780 ESYT1 ENSG00000139641 IL27RA ENSG00000104998 ITFG1 ENSG00000129636 NUP210 ENSG00000132182 RFWD2 ENSG00000143207 MARVELD3 ENSG00000140832 ARMCX4 ENSG00000196440 NIPA2 ENSG00000140157 SLC16A3 ENSG00000141526 HFE2 ENSG00000168509 HLA-DRA ENSG00000206308 GOLT1B ENSG00000111711 SLC15A3 ENSG00000110446 STX5 ENSG00000162236 TNF ENSG00000223952 KIR2DL3 ENSG00000276590 SLC9A8 ENSG00000197818 AGMO ENSG00000187546 OR2W3 ENSG00000238243 ENSG00000148123 OR51B6 ENSG00000176239 GALNT18 ENSG00000110328 OR51I1 ENSG00000167359 SLC6A3 ENSG00000142319 OR10W1 ENSG00000172772 GLG1 ENSG00000090863 APLP1 ENSG00000105290 PLA2R1 ENSG00000153246 FAM19A1 ENSG00000183662 SLC25A12 ENSG00000115840 ANKLE2 ENSG00000176915 IL1RAP ENSG00000196083 KIR2DL4 ENSG00000273575 OR11H12 ENSG00000257115 NOTCH2 ENSG00000134250 IL12B ENSG00000113302 KLRD1 ENSG00000134539 HLA-DRB3 ENSG00000231679 ILDR2 ENSG00000143195 HSD17B3 ENSG00000130948 FXYD5 ENSG00000089327 SCN2B ENSG00000149575 TMC7 ENSG00000170537 TNFRSF17 ENSG00000048462 OR52H1 ENSG00000181616 KIR2DS2 ENSG00000278300 SEMA4B ENSG00000185033 HERPUD2 ENSG00000122557 OR52D1 ENSG00000181609 PLRG1 ENSG00000171566 SPECC1L-ADORA2A ENSG00000258555 TRPV2 ENSG00000187688 HLA-DRB1 ENSG00000196126 GPR157 ENSG00000180758 TXNDC12 ENSG00000117862 PIGQ ENSG00000007541 CRTAM ENSG00000109943 DLL1 ENSG00000198719 KRTAP19-8 ENSG00000206102 KIR3DL3 ENSG00000274786 C1QTNF6 ENSG00000133466 UNC5A ENSG00000113763 PMEPA1 ENSG00000124225 BET1 ENSG00000105829 NCAM2 ENSG00000154654 KIR3DL2 ENSG00000278442 DHRS7C ENSG00000184544 OR2H1 ENSG00000235132 TMEM167B ENSG00000215717 CALCR ENSG00000004948 KIR2DL2 ENSG00000273578 PAQR6 ENSG00000160781 HLA-G ENSG00000235346 FKRP ENSG00000181027 LY6G6F ENSG00000240957 OR11L1 ENSG00000197591 PTGFR ENSG00000122420 FAF1 ENSG00000185104 SLC39A3 ENSG00000141873 TMEM231 ENSG00000205084 WFDC2 ENSG00000101443 APMAP ENSG00000101474 MLNR ENSG00000102539 MC4R ENSG00000166603 TMEM54 ENSG00000121900 FAM174A ENSG00000174132 ADAM7 ENSG00000069206 SLC25A36 ENSG00000114120 ADRB2 ENSG00000169252 SLC9A2 ENSG00000115616 PROKR2 ENSG00000101292 FLT3LG ENSG00000090554 TNFSF12-TNFSF13 ENSG00000248871 SPINK9 ENSG00000204909 SCTR ENSG00000080293 FAM69A ENSG00000154511 GRM5 ENSG00000168959 SLC35F4 ENSG00000151812 CNIH4 ENSG00000143771 BEST4 ENSG00000142959 SLC30A6 ENSG00000152683 MFSD5 ENSG00000182544 TVP23C-CDRT4 ENSG00000259024 CD207 ENSG00000116031 TNFSF11 ENSG00000120659 EPHA1 ENSG00000146904 CCR8 ENSG00000179934 HLA-DQA2 ENSG00000237541 GHSR ENSG00000121853 EVI2A ENSG00000126860 HIAT1 ENSG00000156875 SPG7 ENSG00000197912 BPI ENSG00000101425 IL17RE ENSG00000163701 GPR1 ENSG00000183671 ATP6V0A2 ENSG00000185344 RHD ENSG00000187010 BTNL2 ENSG00000225412 CLEC12B ENSG00000256660 C17orf78 ENSG00000278505 PTPRJ ENSG00000149177 HLA-DOB ENSG00000241386 EGF ENSG00000138798 OR8J3 ENSG00000167822 KIAA1109 ENSG00000138688 MS4A5 ENSG00000166930 CD68 ENSG00000129226 APH1B ENSG00000138613 SLCO1A2 ENSG00000084453 GABBR2 ENSG00000136928 HSD11B1 ENSG00000117594 GLDN ENSG00000186417 JAG2 ENSG00000184916 IL31 ENSG00000204671 PTPLB ENSG00000206527 CACNG8 ENSG00000142408 HLA-DOA ENSG00000232957 ADORA2A ENSG00000128271 EPHA4 ENSG00000116106 FAM187B ENSG00000177558 HCAR1 ENSG00000196917 MCOLN2 ENSG00000153898 OR1A2 ENSG00000172150 ENSG00000214978 CLEC1B ENSG00000165682 CLDN19 ENSG00000164007 ABCB4 ENSG00000005471 SLC52A2 ENSG00000185803 KIR2DL1 ENSG00000276625 IL2RB ENSG00000100385 ADAMDEC1 ENSG00000134028 GHR ENSG00000112964 FZD8 ENSG00000177283 TNFRSF1B ENSG00000028137 OR10H2 ENSG00000171942 TLR7 ENSG00000196664 CDS2 ENSG00000101290 DDRGK1 ENSG00000198171 PCDH10 ENSG00000138650 AGER ENSG00000237405 GP9 ENSG00000169704 SLC16A14 ENSG00000163053 OR10H3 ENSG00000171936 CERS4 ENSG00000090661 SYNPR ENSG00000163630 KIZ ENSG00000088970 IL13RA1 ENSG00000131724 CYP2J2 ENSG00000134716 MS4A7 ENSG00000166927 SLC16A9 ENSG00000165449 GRAMD4 ENSG00000075240 SPNS3 ENSG00000182557 CRTAP ENSG00000170275 EXOG ENSG00000157036 FIS1 ENSG00000214253 TMC4 ENSG00000274384 PPAPDC1B ENSG00000147535 HLA-DRB1 ENSG00000206306 MCTP1 ENSG00000175471 SPINT2 ENSG00000167642 SLC16A6 ENSG00000108932 OMG ENSG00000126861 TMEM35 ENSG00000126950 MOGAT2 ENSG00000166391 TM2D1 ENSG00000162604 LTB ENSG00000223448 KIR2DL2 ENSG00000277251 MGAT1 ENSG00000131446 MOSPD1 ENSG00000101928 LY6G6E ENSG00000235769 EVI2B ENSG00000185862 LFNG ENSG00000106003 FLVCR2 ENSG00000119686 USP19 ENSG00000172046 TIMM23B ENSG00000204152 MS4A6E ENSG00000166926 ACSS1 ENSG00000154930 SLC45A3 ENSG00000158715 KIR2DS1 ENSG00000276387 KIR2DS2 ENSG00000275253 BRCA1 ENSG00000012048 SLC44A4 ENSG00000206378 LETMD1 ENSG00000050426 FANCM ENSG00000187790 GLP1R ENSG00000112164 KIR3DL3 ENSG00000274254 OR2L2 ENSG00000203663 SMOC2 ENSG00000112562 PERP ENSG00000112378 GALNT12 ENSG00000119514 GALNTL6 ENSG00000174473 MARVELD2 ENSG00000152939 OR2AK2 ENSG00000187080 OR10H4 ENSG00000176231 KIR3DL2 ENSG00000278474 TNFSF9 ENSG00000125657 TMEM129 ENSG00000168936 SLC52A3 ENSG00000101276 HTR2C ENSG00000147246 GJC2 ENSG00000198835 IL4R ENSG00000077238 SLC35G1 ENSG00000176273 KIR2DL3 ENSG00000274830 MXRA8 ENSG00000162576 ELN ENSG00000049540 KIAA1644 ENSG00000138944 MCOLN3 ENSG00000055732 OR2T8 ENSG00000177462 PGAM5 ENSG00000247077 ATP10B ENSG00000118322 MADCAM1 ENSG00000099866 TXNDC15 ENSG00000113621 KCNJ13 ENSG00000115474 OTOP1 ENSG00000163982 TMEM249 ENSG00000261587 OR2AJ1 ENSG00000177275 C16orf58 ENSG00000140688 ENSG00000265118 SLC5A4 ENSG00000100191 ABCG5 ENSG00000138075 DEFB4A ENSG00000171711 CDH12 ENSG00000154162 CYBA ENSG00000051523 IZUMO2 ENSG00000161652 PXMP2 ENSG00000176894 ACKR4 ENSG00000129048 ATP8B1 ENSG00000081923 CES5A ENSG00000159398 DNAJC19 ENSG00000205981 TMEM202 ENSG00000187806 BMPR2 ENSG00000204217 MSR1 ENSG00000038945 GDNF ENSG00000168621 GPR63 ENSG00000112218 RNF121 ENSG00000137522 HLA-DOB ENSG00000241106 TIMM17B ENSG00000126768 OR2L13 ENSG00000196071 VAPA ENSG00000101558 GPR132 ENSG00000183484 OR52E2 ENSG00000176787 FGFR3 ENSG00000068078 TMEM132E ENSG00000181291 TMEM126A ENSG00000171202 CD180 ENSG00000134061 GULP1 ENSG00000144366 CNIH3 ENSG00000143786 CYP2C8 ENSG00000138115 KIR3DL2 ENSG00000276004 FADS2 ENSG00000134824 NXPE3 ENSG00000144815 KIR3DL2 ENSG00000278809 FGFR2 ENSG00000066468 SLC17A7 ENSG00000104888 CAMKMT ENSG00000143919 NRXN1 ENSG00000179915 PTPRT ENSG00000196090 MMP23B ENSG00000189409 NCR3 ENSG00000225211 GLIPR1L2 ENSG00000180481 CLDN3 ENSG00000165215 KCNK4 ENSG00000182450 TARM1 ENSG00000276355 OR2L5 ENSG00000197454 CACNA1I ENSG00000100346 PLD6 ENSG00000179598 NPY1R ENSG00000164128 IL1R1 ENSG00000115594 SLC3A2 ENSG00000168003 SLC16A1 ENSG00000155380 KIR2DL3 ENSG00000278327 STRC ENSG00000242866 KRTAP20-2 ENSG00000184032 B3GNT6 ENSG00000198488 TNFSF10 ENSG00000121858 SUSD1 ENSG00000106868 HSD17B13 ENSG00000170509 NBAS ENSG00000151779 CERS6 ENSG00000172292 OR52J3 ENSG00000205495 PTGER1 ENSG00000160951 PCSK7 ENSG00000160613 ALG5 ENSG00000120697 SLC29A3 ENSG00000198246 APP ENSG00000142192 PVRIG ENSG00000213413 TIMM23 ENSG00000265354 ENSG00000243627 ST7L ENSG00000007341 TMIGD1 ENSG00000182271 ZNF304 ENSG00000131845 GDAP1 ENSG00000104381 TMEM116 ENSG00000198270 G6PC2 ENSG00000152254 LINGO2 ENSG00000174482 POTEG ENSG00000222036 TNFRSF11A ENSG00000141655 LRRC24 ENSG00000254402 CTAGE6 ENSG00000271321 TMEM217 ENSG00000172738 SLC6A6 ENSG00000131389 HRH4 ENSG00000134489 TMUB1 ENSG00000164897 TRIQK ENSG00000205133 GPA33 ENSG00000143167 PTPRG ENSG00000144724 TMEM131 ENSG00000075568 KIR2DL2 ENSG00000275960 GPR148 ENSG00000173302 DNAJB12 ENSG00000148719 VSIG1 ENSG00000101842 SLFN12L ENSG00000205045 KLHDC10 ENSG00000128607 KIAA2013 ENSG00000116685 GOLGB1 ENSG00000173230 HMOX1 ENSG00000100292 TM4SF5 ENSG00000142484 FCGR1A ENSG00000150337 ERBB3 ENSG00000065361 KIR3DL2 ENSG00000275838 HAMP ENSG00000105697 DPM2 ENSG00000136908 MRGPRG ENSG00000182170 GPR155 ENSG00000163328 OR2D2 ENSG00000166368 SFXN5 ENSG00000144040 TAS2R60 ENSG00000185899 SLC25A26 ENSG00000144741 MMP15 ENSG00000102996 DCT ENSG00000080166 XKR8 ENSG00000158156 MS4A14 ENSG00000166928 NKPD1 ENSG00000179846 PDIA4 ENSG00000155660 KIR3DL3 ENSG00000274556 ATP1A4 ENSG00000132681 TMEM79 ENSG00000163472 TMED10 ENSG00000170348 KRT5 ENSG00000186081 SNX19 ENSG00000120451 F2RL2 ENSG00000164220 JPH1 ENSG00000104369 CD200 ENSG00000091972 OPALIN ENSG00000197430 SLC9B2 ENSG00000164038 HTR1F ENSG00000179097 TAS2R41 ENSG00000221855 HFE ENSG00000010704 TMEM130 ENSG00000166448 ATP6V0B ENSG00000117410 C1orf85 ENSG00000198715 KIR2DL1 ENSG00000125498 PRRG3 ENSG00000130032 LTA ENSG00000230279 SLC22A25 ENSG00000196600 ADAM8 ENSG00000151651 KIR3DL2 ENSG00000240403 RNASE10 ENSG00000182545 FES ENSG00000182511 SLC38A5 ENSG00000017483 HTR6 ENSG00000158748 NETO1 ENSG00000166342 EVA1B ENSG00000142694 SLC35E2B ENSG00000189339 TRAM1 ENSG00000067167 NPY5R ENSG00000164129 LCTL ENSG00000188501 ADRA2A ENSG00000150594 GPR33 ENSG00000214943 ACVRL1 ENSG00000139567 FNDC3A ENSG00000102531 BCL2L10 ENSG00000137875 MS4A6A ENSG00000110077 SMIM1 ENSG00000235169 GRM2 ENSG00000164082 SLC47A2 ENSG00000180638 GABRR1 ENSG00000146276 SLC6A13 ENSG00000010379 OR6X1 ENSG00000221931 MBOAT1 ENSG00000172197 OR6M1 ENSG00000196099 GGT2 ENSG00000133475 TAS2R16 ENSG00000128519 FKBP7 ENSG00000079150 GPR128 ENSG00000144820 DHX36 ENSG00000174953 TMEM106A ENSG00000184988 PHTF2 ENSG00000006576 KIR2DS4 ENSG00000276634 BSG ENSG00000172270 C14orf37 ENSG00000139971 ADAM28 ENSG00000042980 GPR149 ENSG00000174948 TMEM200A ENSG00000164484 EPHA5 ENSG00000145242 FOLH1 ENSG00000086205 KIR2DL1 ENSG00000274926 MUC3A ENSG00000169894 AUP1 ENSG00000115307 LST1 ENSG00000234514 OPRM1 ENSG00000112038 TGFB3 ENSG00000119699 CD58 ENSG00000116815 TMEM104 ENSG00000109066 LRCH4 ENSG00000077454 ST6GALNAC2 ENSG00000070731 LRRTM2 ENSG00000146006 COX16 ENSG00000133983 LRRC37B ENSG00000185158 SLC37A2 ENSG00000134955 CCPG1 ENSG00000260916 TMEM236 ENSG00000148483 TMEM69 ENSG00000159596 STEAP3 ENSG00000115107 OR4F29 ENSG00000278566 OSBPL8 ENSG00000091039 CD300E ENSG00000186407 NKAIN3 ENSG00000185942 TMEM246 ENSG00000165152 SGPP1 ENSG00000126821 CMTM8 ENSG00000170293 KCNE1L ENSG00000176076 OR5AN1 ENSG00000176495 KIR2DS2 ENSG00000277885 HLA-F ENSG00000206509 NCEH1 ENSG00000144959 SSBP4 ENSG00000130511 TMEM198 ENSG00000188760 ROBO1 ENSG00000169855 SMLR1 ENSG00000256162 SLC22A10 ENSG00000184999 CMTM4 ENSG00000183723 TPCN2 ENSG00000162341 MOG ENSG00000204655 GPRC5C ENSG00000170412 AOC3 ENSG00000131471 HTR3A ENSG00000166736 CALCRL ENSG00000064989 TCTN3 ENSG00000119977 ACSL4 ENSG00000068366 KLK3 ENSG00000142515 KIR3DL3 ENSG00000275062 SPATA3 ENSG00000173699 NPIPB5 ENSG00000243716 PROS1 ENSG00000184500 KIRREL2 ENSG00000126259 CRHR1 ENSG00000120088 OR2AE1 ENSG00000244623 ADORA1 ENSG00000163485 SLC20A1 ENSG00000144136 CA4 ENSG00000167434 DCBLD1 ENSG00000164465 SLC44A4 ENSG00000232180 KIR3DL1 ENSG00000274948 FMO3 ENSG00000007933 NPHS1 ENSG00000161270 RRBP1 ENSG00000125844 ENSG00000233438 KIR2DL2 ENSG00000275914 ST3GAL5 ENSG00000115525 HERPUD1 ENSG00000051108 SLC17A1 ENSG00000124568 SLC36A3 ENSG00000186334 DPP6 ENSG00000130226 LDLRAD1 ENSG00000203985 GPR112 ENSG00000156920 DSG4 ENSG00000175065 SEC63 ENSG00000025796 CCL11 ENSG00000172156 KIR2DL2 ENSG00000276011 ENSG00000261717 MICU3 ENSG00000155970 CATSPER1 ENSG00000175294 RNASET2 ENSG00000026297 TMEM170A ENSG00000166822 SLC25A48 ENSG00000145832 CACNG4 ENSG00000075461 LTB ENSG00000231314 TRBV13 ENSG00000276405 TNF ENSG00000206439 SLC26A2 ENSG00000155850 FAM189B ENSG00000160767 OTOP3 ENSG00000182938 OR5A2 ENSG00000172324 OR5B17 ENSG00000197786 ATXN2L ENSG00000168488 MBOAT7 ENSG00000276935 CYP2A13 ENSG00000197838 SERPINA1 ENSG00000197249 ST6GALNAC1 ENSG00000070526 TRPC1 ENSG00000144935 TM9SF4 ENSG00000101337 TLR10 ENSG00000174123 PIK3IP1 ENSG00000100100 TRPM4 ENSG00000130529 ENTPD8 ENSG00000188833 SLC22A4 ENSG00000197208 NPTN ENSG00000156642 TMEM120B ENSG00000188735 NUP210L ENSG00000143552 GABRG2 ENSG00000113327 C2orf66 ENSG00000187944 EMC10 ENSG00000161671 SLC22A24 ENSG00000197658 C5AR1 ENSG00000197405 TMEM225 ENSG00000204300 TBXAS1 ENSG00000059377 UMOD ENSG00000169344 NDUFB5 ENSG00000136521 LBR ENSG00000143815 TRBV18 ENSG00000276557 MME ENSG00000196549 FRRS1 ENSG00000156869 SLC22A5 ENSG00000197375 CA14 ENSG00000118298 CACNG5 ENSG00000075429 COX7A1 ENSG00000161281 FBXL17 ENSG00000145743 MARS ENSG00000166986 CNIH2 ENSG00000174871 ENPP4 ENSG00000001561 RHBG ENSG00000132677 EPHB1 ENSG00000154928 KCNH7 ENSG00000184611 ITM2C ENSG00000135916 CYP51A1 ENSG00000001630 TMEM41A ENSG00000163900 SAMD5 ENSG00000203727 RFNG ENSG00000169733 P4HA2 ENSG00000072682 GPR55 ENSG00000135898 LAIR1 ENSG00000276163 COX11 ENSG00000166260 YIF1A ENSG00000174851 CHSY1 ENSG00000131873 NTRK3 ENSG00000140538 KIR2DL4 ENSG00000275848 CRISP3 ENSG00000096006 SLC18A1 ENSG00000036565

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Phelan P J, Conlon P J, Sparks M A. Genetic determinants of renal     transplant outcome: where do we stand? J Nephrol [Internet] 2014;     Available from: http://www.ncbi.nlm.nih.gov/pubmed/24515316 -   7. Suthanthiran M, Schwartz J E, Ding R, et al. Urinary-cell mRNA     profile and acute cellular rejection in kidney allografts. N Engl J     Med [Internet] 2013; 369(1):20-31. Available from:     http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=23822777 -   8. Dorff K C, Chambwe N, Zeno Z, Simi M, Shaknovich R, Campagne F.     GobyWeb: simplified management and analysis of gene expression and     DNA methylation sequencing data. PLoS One [Internet] 2013 [cited     2013 Nov. 19]; 8 (7):e69666. Available from:     http://dx.plos.org/10.1371/journal.pone0.0069666 -   9. Kielbasa S M, Wan R, Sato K, Horton P, Frith M C. Adaptive seeds     tame genomic sequence comparison. Genome Res [Internet] 2011;     21(3):487-93. Available from:     http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=21209072 -   10. Campagne F, Dorff K C, Chambwe N, Robinson J. T., Mesirov J P.     Compression of structured high-throughput sequencing data. PLoS One     2013; 8(11):e79871. -   11. Poge U, Gerhardt T, Palmedo H, Klehr H U, Sauerbruch T, Woitas     R P. MDRD equations for estimation of GFR in renal transplant     recipients. Am J Transpl [Internet] 2005; 5(6):1306-11. Available     from:     http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=15888034 -   12. Levey A S, Tangri N, Stevens L A. Classification of chronic     kidney disease: a step forward. Ann Intern Med [Internet] 2011     [cited 2014 May 24]; 154(1):65-7. Available from:     http://www.ncbi.nlm.nih.gov/pubmed/21200043 -   13. Franklin C, Fuentes M H, Mollon J, et al. A genome-wide     association study of kidney transplant survival: Donors recipients     and interactions. [Internet]. In: American Conference of Human     Genetics. 2012. Available from:     http://www.ashg.org/2012meeting/abstracts/fulltext/f120120818.htm -   14. Goldfarb-Rumyantzev A S, Naiman N. Genetic prediction of renal     transplant outcome. Curr Opin Nephrol Hypertens [Internet] 2008;     17(6):573-9. Available from:     http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18941349 -   15. O'Brien R P, Phelan P J, Conroy J, et al. A genome-wide     association study of recipient genotype and medium-term kidney     allograft function. Clin Transpl [Internet] 2013; 27(3):379-87.     Available from:     http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=23432519 -   16. Varagunam M, Yaqoob M M, Dohler B, Opelz G. C3 polymorphisms and     allograft outcome in renal transplantation. N Engl J Med [Internet]     2009; 360(9):874-80. Available from:     http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=19246358 -   17. Lv R, Hu X, Bai Y, et al. Association between IL-6-174G/C     polymorphism and acute rejection of renal allograft: evidence from a     meta-analysis. Transpl Immunol [Internet] 2012; 26(1):11-8.     Available from:     http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=22024650

The following statements describe and summarize aspects of the invention.

Statements

-   -   1. A method to determine the best match among multiple potential         organ donors for a recipient in need of a transplanted organ,         where the method comprises:         -   (a) determining genotypes of at least several hundred donor             genomic DNA segments from the multiple organ donor             candidates;         -   (b) determining genotypes of the corresponding recipient             genomic DNA segments from one or more possible transplant             recipients; and         -   (c) quantifying an amount of immunological mismatch between             the one or more donor genotypes and the recipient genotypes,             to thereby determine the best match among multiple potential             organ donors and potential recipients in need of a             transplanted organ.     -   2. The method of potential statement 1, wherein the         immunological mismatch(es) can result in immunological reactions         in the transplant recipient.     -   3. The method of potential statement 1, wherein an amount of         immunological mismatch between a donor candidate and the         recipient is a quantitative estimate called an allogenomics         mismatch score comprising the sum of all amino acid mismatches         between the recipient and the donor that can be recognized as         non-self by the recipient.     -   4. The method of statement 3, wherein a lower (or lowest)         allogenomics mismatch score identifies a donor of an organ for         the recipient.     -   5. The method of statement 3, wherein a lower (or lowest)         allogenomics mismatch score identifies a better clinical outcome         for long-term graft survival and function of a donated organ in         the recipient.     -   6. The method of potential statement 1, where the one or more         donor genomic segments and the one or more corresponding         recipient genomic segments from the recipient are selected to         include genomic segments that can cause an immunologic response         in the recipient when an organ of the donor is transplanted in         the recipient.     -   7. The method of statement 1, further comprising defining a set         of polymorphism sites for evaluation by sequence determination.     -   8. A method for identifying at least one match among multiple         potential organ donors for at least one recipient in need of a         transplanted organ, where the method comprises:         -   (a) assaying to determine amino acid mismatches encoded by             the donor genomes that at least one selected recipient             immune system could recognize as non-self;         -   (b) separately summing the number of amino acid mismatches             for each donor compared to at least one selected recipient             where the mismatches can be recognized as non-self by the             selected recipient(s);         -   (c) determining an allogenomics mismatch score Δ(r,d) for             each selected recipient r and each donor d, which is a sum             of mismatches as shown in Equation 1:

$\begin{matrix} {{\Delta \left( {r,d} \right)} = {\sum\limits_{p \in P}\; {\delta_{p}\left\lbrack {{G_{rp} = {{genotype}\left( {r,p} \right)}},{G_{dp} = {{genotype}\left( {d,p} \right)}}} \right\rbrack}}} & {{Equation}\mspace{14mu} 1} \end{matrix}$

-   -   -   -   where:                 -   δ_(p) is defined in Equation 2;                 -   P is a set of all genomic positions of interest;                 -   p is a polymorphic site in a set P;                 -   G_(rp) is the genotype of the recipient r at genomic                     site/position p;                 -   G_(dp) is the genotype of the donor d at site p;

$\begin{matrix} {{\delta_{p}\left( {G_{rp},G_{dp}} \right)} = {\sum\limits_{a \in G_{dp}}\; \left\{ \begin{matrix} 0 & {{{if}\mspace{14mu} a} \in G_{r,p}} \\ 1 & {otherwise} \end{matrix} \right.}} & {{Equation}\mspace{14mu} 2} \end{matrix}$

-   -   -   -   where                 -   a is an allele; and

        -   (d) identifying a match among the multiple potential organ             donors for at least one recipient in need of a transplanted             organ by identifying one or more donor with an allogenomics             mismatch score that is below a threshold value, or by             identifying the donor with the lowest allogenomics score for             a selected recipient.

    -   9. The method of statement 8, further comprising isolating         genomic DNA from the donors and at least one recipient and         assaying the number of amino acid differences encoded by the         donor genomes that at least one recipient immune system could         recognize as non-self.

    -   10. The method of statement 8 or 9, wherein at least 1, or at         least 2, or least 5, or at least 10, or at least 15, or at least         20, or at least 30, or at least 50, or at least 75, or at least         100, or at least 125, or at 150, or at least 200, or at 500         donors are assayed for the number of amino acid differences         encoded by the donor genomes that at least one recipient immune         system could recognize as non-self.

    -   11. The method of statement 8 or 9, wherein at least 1, or at         least 2, or least 5, or at least 10, or at least 15, or at least         20, or at least 30, or at least 50, or at least 75, or at least         100, or at least 125, or at 150, or at least 200, or at 500         recipients are assayed for the number of amino acid differences         encoded by the donor genomes that at least one recipient immune         system could recognize as non-self.

    -   12. The method of any of statements 8-11, wherein mismatches         between at least one recipient and the donors that can be         recognized as non-self by a recipient do not include mismatches         that the recipient has but that the donor does not have.

    -   13. The method of any of statements 8-12, wherein assaying         comprises identifying polymorphisms that are present in the         donor but not in the recipient.

    -   14. The method of any of statements 8-13, wherein assaying         comprises genomic DNA fragmentation, DNA sequencing, primer         extension, microarray sequence analysis, SNP analysis,         polymerase chain reaction, or a combination thereof.

    -   15. The method of any of statements 8-14, wherein assaying         comprises sequencing exons in genomic DNA samples obtained from         the donor and separately sequencing exons in genomic DNA samples         obtained from the recipient.

    -   16. The method of any of statements 8-15, wherein assaying         comprises sequencing exons encoding transmembrane proteins.

    -   17. The method of any of statements 8-16, wherein assaying         comprises sequencing exons that do not encode human leukocyte         antigens.

    -   18. The method of any of statements 8-17, wherein assaying         comprises sequencing exons selected from the genes listed in         Table 5 to determine the number of amino acid differences         encoded by the donor genome that the recipient immune system         could recognize as non-self.

    -   19. The method of any of statements 8-18, wherein amino acid         mismatches between the recipient and the donor that can be         recognized as non-self by the recipient can cause an immunologic         response in the recipient when an organ of the donor is         transplanted in the recipient.

    -   20. The method of any of statements 8-19, wherein amino acid         mismatches between the recipient and the donor that can be         recognized as non-self by the recipient comprise amino acid         mismatches in membrane proteins.

    -   21. The method of any of statements 8-20, wherein amino acid         mismatches between the recipient and the donor that can be         recognized as non-self by the recipient comprise amino acid         mismatches in extracellular domains of membrane proteins.

    -   22. The method of any of statements 8-21, wherein summing amino         acid mismatches between the recipient and the donor that can be         recognized as non-self by the recipient comprises summing         polymorphic sites as shown in Equation 2:

$\begin{matrix} {{\delta_{p}\left( {G_{rp},G_{dp}} \right)} = {\sum\limits_{a \in G_{dp}}\; \left\{ \begin{matrix} 0 & {{{if}\mspace{14mu} a} \in G_{r,p}} \\ 1 & {otherwise} \end{matrix} \right.}} & {{Equation}\mspace{14mu} 2} \end{matrix}$

-   -   -   where             -   a is an allele;             -   P is a set of all genomic positions of interest;             -   p is a polymorphic site in a set P;             -   G_(rp) is the genotype of the recipient r at genomic                 site/position p; and             -   G_(dp) is the genotype of the donor d at site p.

    -   23. The method of any of statements 8-22, further comprising         selecting a donor organ for transplantation into a recipient.

    -   24. The method of any of statements 8-23, further comprising         transplanting a selected donor organ into a recipient.

    -   25. A method comprising:         -   (a) assaying to determine amino acid mismatches encoded a             donor organ genome that the immune system of the recipient             of the donor organ could recognize as non-self;         -   (b) summing the number of donor amino acid mismatches             compared to the recipient where the mismatches can be             recognized as non-self by recipient;         -   (c) determining an allogenomics mismatch score Δ(r,d) for             the recipient r and the donor d, which is a sum of             mismatches as shown in Equation 1:

$\begin{matrix} {{\Delta \left( {r,d} \right)} = {\sum\limits_{p \in P}\; {\delta_{p}\left\lbrack {{G_{rp} = {{genotype}\left( {r,p} \right)}},{G_{dp} = {{genotype}\left( {d,p} \right)}}} \right\rbrack}}} & {{Equation}\mspace{14mu} 1} \end{matrix}$

-   -   -   -   where:                 -   δ_(p) is defined in Equation 2;                 -   P is a set of all genomic positions of interest;                 -   p is a polymorphic site in a set P;                 -   G_(rp) is the genotype of the recipient rat genomic                     site/position p;                 -   G_(dp) is the genotype of the donor d at site p;

$\begin{matrix} {{\delta_{p}\left( {G_{rp},G_{dp}} \right)} = {\sum\limits_{a \in G_{dp}}\; \left\{ \begin{matrix} 0 & {{{if}\mspace{14mu} a} \in G_{r,p}} \\ 1 & {otherwise} \end{matrix} \right.}} & {{Equation}\mspace{14mu} 2} \end{matrix}$

-   -   -   -   where a is an allele;

        -   (d) determining whether the allogenomics mismatch score is             greater than a threshold; and

        -   (e) identifying whether the recipient is in need of             treatment, or may develop a need for treatment, when the             allogenomics mismatch score is greater than a threshold             value.

    -   26. The method of statement 25, further comprising isolating         genomic DNA from the donor or the donor transplant, and the         recipient; and assaying the number of amino acid differences         encoded by the donor genome that the recipient immune system         could recognize as non-self.

    -   27. The method of statement 25 or 26, wherein assaying comprises         genomic DNA fragmentation, DNA sequencing, primer extension,         microarray sequence analysis, SNP analysis, polymerase chain         reaction, or a combination thereof.

    -   28. The method of any of statements 25-27, wherein assaying         comprises sequencing exons in genomic DNA samples obtained from         the donor and separately sequencing exons in genomic DNA samples         obtained from the recipient.

    -   29. The method of any of statements 25-28, wherein assaying         comprises sequencing exons encoding transmembrane proteins.

    -   30. The method of any of statements 25-29, wherein assaying         comprises sequencing exons that do not encode human leukocyte         antigens.

    -   31. The method of any of statements 25-30, wherein assaying         comprises sequencing exons selected from the genes listed in         Table 5 to determine the number of amino acid differences         encoded by the donor genome that the recipient immune system         could recognize as non-self.

    -   32. The method of any of statements 25-31, wherein amino acid         mismatches between the recipient and the donor that can be         recognized as non-self by the recipient can cause an immunologic         response in the recipient when an organ of the donor is         transplanted in the recipient.

    -   33. The method of any of statements 25-31, wherein amino acid         mismatches between the recipient and the donor that can be         recognized as non-self by the recipient comprise amino acid         mismatches in membrane proteins.

    -   34. The method of any of statements 25-33, wherein amino acid         mismatches between the recipient and the donor that can be         recognized as non-self by the recipient comprise amino acid         mismatches in extracellular domains of membrane proteins.

    -   35. The method of any of statements 25-34, wherein summing amino         acid mismatches between the recipient and the donor that can be         recognized as non-self by the recipient comprises summing         polymorphic sites as shown in Equation 2:

$\begin{matrix} {{\delta_{p}\left( {G_{rp},G_{dp}} \right)} = {\sum\limits_{a \in G_{dp}}\; \left\{ \begin{matrix} 0 & {{{if}\mspace{14mu} a} \in G_{r,p}} \\ 1 & {otherwise} \end{matrix} \right.}} & {{Equation}\mspace{14mu} 2} \end{matrix}$

-   -   -   where             -   a is an allele;             -   P is a set of all genomic positions of interest;             -   p is a polymorphic site in a set P;             -   G_(rp) is the genotype of the recipient r at genomic                 site/position p; and             -   G_(dp) is the genotype of the donor d at site p.

    -   36. The method of any of statements 25-35, further comprising         treating the recipient when the allogenomics mismatch score is         greater than the threshold value.

    -   37. The method of any of statements 25-36, further comprising         treating the recipient for tissue rejection or potential tissue         rejection when the allogenomics mismatch score is greater than         the threshold value.

    -   38. The method of any of statements 25-37, further comprising         administering immunosuppression therapy to the recipient when         the allogenomics mismatch score is greater than the threshold         value.

    -   39. The method of any of statements 25-38, wherein the threshold         value is 1700, 1600, 1500, 1400, 1300, 1200, 1100, or 1000.

    -   40. The method of any of statements 25-39, wherein the organ is         a kidney, a heart, a liver, a lung, a bladder, an intestine, a         trachea, an esophagus, a pancreas, a stomach, a thymus, an         ovary, a cervix, a uterus, a vagina, a penis, a prostate, a         testes, or any combination or part thereof; or a tissue selected         from the group of vascular tissues, neuronal tissues, muscular         tissues, adipose tissues, pancreatic islet tissues, bone         tissues, bone marrow, skin, dermal tissues, stem cells,         connective tissues, or a combination.

    -   41. An apparatus comprising:         -   (a) a component for separately assaying amino acid             mismatches encoded by multiple donor genomes that at least             one selected recipient immune system could recognize as             non-self;         -   (b) a component for separately summing the donor amino acid             mismatches assayed by comparison to amino acids encoded by             each selected recipient;         -   (c) a component for determining an allogenomics mismatch             score Δ(r,d) for at least one recipient r and one or more             donor d, which is a sum of mismatches as shown in Equation             1:

$\begin{matrix} {{\Delta \left( {r,d} \right)} = {\sum\limits_{p \in P}\; {\delta_{p}\left\lbrack {{G_{rp} = {{genotype}\left( {r,p} \right)}},{G_{dp} = {{genotype}\left( {d,p} \right)}}} \right\rbrack}}} & {{Equation}\mspace{14mu} 1} \end{matrix}$

-   -   -   where:             -   δ_(p) is defined in Equation 2;             -   P is a set of all genomic positions of interest;             -   p is a polymorphic site in a set P;             -   G_(rp) is the genotype of the recipient r at genomic                 site/position p;             -   G_(dp) is the genotype of the donor d at site p;

$\begin{matrix} {{\delta_{p}\left( {G_{rp},G_{dp}} \right)} = {\sum\limits_{a \in G_{dp}}\; \left\{ \begin{matrix} 0 & {{{if}\mspace{14mu} a} \in G_{r,p}} \\ 1 & {otherwise} \end{matrix} \right.}} & {{Equation}\mspace{14mu} 2} \end{matrix}$

-   -   -   where a is an allele; and         -   (d) a component for determining a match among potential             organ donors for at least one recipient in need of a             transplanted organ by identifying one or more donor with a             allogenomics mismatch score less than a threshold value, or             by identifying the donor with the lowest allogenomics             mismatch score for a selected recipient.

    -   42. The apparatus of statement 41, further comprising a         component for isolating and/or purifying genomic DNA from the         donors and at least one recipient and assaying the number of         amino acid differences encoded by the donor genomes that at         least one recipient immune system could recognize as non-self.

    -   43. The apparatus of statement 41 or 42, wherein the component         for assaying the number of amino acid differences (mismatches)         encoded by one or more donor genome that at least one recipient         immune system could recognize as non-self can separately assay         at least 1, or at least 2, or least 5, or at least 10, or at         least 15, or at least 20, or at least 30, or at least 50, or at         least 75, or at least 100, or at least 125, or at 150, or at         least 200, or at 500 donor samples.

    -   44. The apparatus of any of statements 41 to 43, wherein the         component for assaying the number of amino acid differences         (mismatches) encoded by one or more donor genome that at least         one recipient immune system could recognize as non-self can         separately assay at least 1, or at least 2, or least 5, or at         least 10, or at least 15, or at least 20, or at least 30, or at         least 50, or at least 75, or at least 100, or at least 125, or         at 150, or at least 200, or at 500 recipient samples.

    -   45. The apparatus of any of statements 41 to 44, wherein the         component for assaying comprises at least one chamber for         genomic DNA fragmentation, DNA sequencing, primer extension,         microarray sequence analysis, SNP analysis, polymerase chain         reaction, or a combination thereof.

    -   46. The apparatus of any of statements 41 to 45, wherein the         component for assaying comprises at least one chamber comprising         primers for sequencing exons in genomic DNA samples obtained         from the donor, and at least one chamber comprising primers for         separately sequencing exons in genomic DNA samples obtained from         the recipient.

    -   47. The apparatus of any of statements 41 to 46, wherein the         component for assaying the number of amino acid differences         (mismatches) comprises primers that selectively hybridize to         exons encoding transmembrane proteins.

    -   48. The apparatus of any of statements 41 to 47, wherein the         component for assaying the number of amino acid differences         (mismatches) comprises primers that selectively hybridize to         exons that do not encode human leukocyte antigens.

    -   49. The apparatus of any of statements 41 to 48, wherein the         component for assaying the number of amino acid differences         (mismatches) identifies polymorphisms that are present in the         donor but not in the recipient.

    -   50. The apparatus of any of statements 41 to 49, wherein the         component for assaying comprises primers that selectively         hybridize to exons selected from the genes listed in Table 5 to         determine the number of amino acid differences encoded by the         donor genome that the recipient immune system could recognize as         non-self.

    -   51. The apparatus of any of statements 41 to 50, wherein the         component for assaying comprises primers that selectively         hybridize to exons that encode a protein segment that can cause         an immunologic response in the recipient when an organ of the         donor is transplanted in the recipient.

    -   52. The apparatus of any of statements 41 to 51 wherein the         component for assaying comprises primers that selectively         hybridize to exons encoding membrane proteins.

    -   53. The apparatus of any of statements 41 to 52, wherein the         component for assaying comprises primers that selectively         hybridize to exons encoding membrane proteins with extracellular         domains.

    -   54. The apparatus of any of statements 41 to 53, wherein the         component for summing of amino acid mismatches between the         recipient(s) and the donor(s) does not sum recipient         polymorphisms that are not present in the donor.

    -   55. The apparatus of any of statements 41 to 54, wherein the         component for summing of amino acid mismatches between the         recipient(s) and the donor(s) sums as shown in Equation 2:

$\begin{matrix} {{\delta_{p}\left( {G_{rp},G_{dp}} \right)} = {\sum\limits_{a \in G_{dp}}\; \left\{ {\begin{matrix} 0 & {{{if}\mspace{14mu} a} \in G_{r,p}} \\ 1 & {otherwise} \end{matrix}.} \right.}} & {{Equation}\mspace{14mu} 2} \end{matrix}$

-   -   -   where             -   a is an allele;             -   P is a set of all genomic positions of interest;             -   p is a polymorphic site in a set P;             -   G_(rp) is the genotype of the recipient r at genomic                 site/position p; and             -   G_(dp) is the genotype of the donor d at site p.

    -   56. The apparatus of any of statements 41 to 55, which selects         at least one donor organ for transplantation into at least one         recipient.

    -   57. The apparatus of any of statements 41 to 56, further         comprising a display or a print-out of one or more allogenomics         mismatch score.

The specific methods, compositions, and devices described herein are representative of preferred embodiments and are exemplary and not intended as limitations on the scope of the invention. Other objects, aspects, and embodiments will occur to those skilled in the art upon consideration of this specification, and are encompassed within the spirit of the invention as defined by the scope of the claims. It will be readily apparent to one skilled in the art that varying substitutions and modifications may be made to the invention disclosed herein without departing from the scope and spirit of the invention. The invention illustratively described herein suitably may be practiced in the absence of any element or elements, or limitation or limitations, which are not specifically disclosed herein as essential. The methods and processes illustratively described herein suitably may be practiced in differing orders of steps, and the methods and processes are not necessarily restricted to the orders of steps indicated herein or in the claims.

As used herein and in the appended claims, the singular forms “a,” “an,” and “the” include plural reference unless the context clearly dictates otherwise. Thus, for example, a reference to “a nucleic acid” or “a polypeptide” includes a plurality of such nucleic acids or polypeptides (for example, a solution of nucleic acids or polypeptides or a series of nucleic acids or polypeptide preparations), and so forth. Under no circumstances may the patent be interpreted to be limited to the specific examples or embodiments or methods specifically disclosed herein. Under no circumstances may the patent be interpreted to be limited by any statement made by any Examiner or any other official or employee of the Patent and Trademark Office unless such statement is specifically and without qualification or reservation expressly adopted in a responsive writing by Applicants.

The terms and expressions that have been employed are used as terms of description and not of limitation, and there is no intent in the use of such terms and expressions to exclude any equivalent of the features shown and described or portions thereof, but it is recognized that various modifications are possible within the scope of the invention as claimed. Thus, it will be understood that although the present invention has been specifically disclosed by preferred embodiments and optional features, modification and variation of the concepts herein disclosed may be resorted to by those skilled in the art, and that such modifications and variations are considered to be within the scope of this invention as defined by the appended claims and statements of the invention.

In the foregoing description, reference is made to the accompanying drawings that form a part hereof, and in which is shown by way of illustration specific embodiments which may be practiced. These embodiments are described in detail to enable those skilled in the art to practice the invention, and it is to be understood that other embodiments may be utilized and that logical changes may be made without departing from the scope of the present invention. The following description of example embodiments is, therefore, not to be taken in a limited sense, and the scope of the present invention is defined by the appended claims.

The Abstract is provided to comply with 37 C.F.R. §1.72(b) to allow the reader to quickly ascertain the nature and gist of the technical disclosure. The Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. 

1. A method for identifying at least one match among multiple potential organ donors for at least one recipient in need of a transplanted organ, where the method comprises: (a) assaying to determine amino acid mismatches encoded by the donor genomes that at least one selected recipient immune system could recognize as non-self; (b) separately summing the number of amino acid mismatches for each donor compared to at least one selected recipient where the mismatches can be recognized as non-self by the selected recipient(s); (c) determining an allogenomics mismatch score Δ(r,d) for each selected recipient r and each donor d, which is a sum of mismatches as shown in Equation 1: $\begin{matrix} {{\Delta \left( {r,d} \right)} = {\sum\limits_{p \in P}\; {\delta_{p}\left\lbrack {{G_{rp} = {{genotype}\left( {r,p} \right)}},{G_{dp} = {{genotype}\left( {d,p} \right)}}} \right\rbrack}}} & {{Equation}\mspace{14mu} 1} \end{matrix}$ where: δ_(p) is defined in Equation 2; P is a set of all genomic positions of interest; p is a polymorphic site in a set P: G_(rp) is the genotype of the recipient r at genomic site/position p; G_(dp) is the genotype of the donor d at site p; $\begin{matrix} {{\delta_{p}\left( {G_{rp},G_{dp}} \right)} = {\sum\limits_{a \in G_{dp}}\; \left\{ \begin{matrix} 0 & {{{if}\mspace{14mu} a} \in G_{r,p}} \\ 1 & {otherwise} \end{matrix} \right.}} & {{Equation}\mspace{14mu} 2} \end{matrix}$ where a is an allele; and (d) identifying a match among the multiple potential organ donors for at least one recipient in need of a transplanted organ by identifying one or more donor with an allogenomics mismatch score that is below a threshold value, or by identifying the donor with the lowest allogenomics score for a selected recipient.
 2. The method of claim 1, further comprising isolating genomic DNA from the donors and at least one recipient for the assaying.
 3. The method of claim 1, wherein at least 10 donor samples and/or at least 10 recipient samples are assayed to determine amino acid mismatches encoded by the donor genomes that at least one selected recipient immune system could recognize as non-self.
 4. The method of claim 1, wherein assaying comprises genomic DNA fragmentation, DNA sequencing, primer extension, microarray sequence analysis, SNP analysis, polymerase chain reaction, or a combination thereof.
 5. The method of claim 1, wherein assaying comprises sequencing exons in genomic DNA samples obtained from the donor and separately sequencing exons in genomic DNA samples obtained from the recipient.
 6. The method of claim 1, wherein assaying comprises sequencing exons encoding transmembrane proteins.
 7. The method of claim 1, wherein assaying comprises sequencing exons that do not encode human leukocyte antigens.
 8. The method of claim 1, wherein amino acid mismatches between the recipient and the donor that can be recognized as non-self by the recipient can cause an immunologic response in the recipient when an organ of the donor is transplanted in the recipient.
 9. The method of claim 1, wherein amino acid mismatches between the recipient and the donor that can be recognized as non-self by the recipient comprise amino acid mismatches in membrane proteins.
 10. The method of claim 1, wherein amino acid mismatches between the recipient and the donor that can be recognized as non-self by the recipient comprise amino acid mismatches in extracellular domains of membrane proteins.
 11. The method of claim 1, wherein summing comprises identifying polymorphisms that are present in the donor but not in the recipient and/or excluding mismatches that are detected in the recipient but not in the donor.
 12. The method of claim 1, further comprising selecting a donor organ for transplantation into a recipient.
 13. The method of claim 1, further comprising transplanting a selected donor organ into a recipient.
 14. A method comprising: (a) assaying to determine amino acid mismatches encoded a donor organ genome that the immune system of the recipient of the donor organ could recognize as non-self; (b) summing the number of donor amino acid mismatches compared to the recipient where the mismatches can be recognized as non-self by recipient; (c) determining an allogenomics mismatch score Δ(r,d) for the recipient r and the donor d, which is a sum of mismatches as shown in Equation 1: $\begin{matrix} {{\Delta \left( {r,d} \right)} = {\sum\limits_{p \in P}\; {\delta_{p}\left\lbrack {{G_{rp} = {{genotype}\left( {r,p} \right)}},{G_{dp} = {{genotype}\left( {d,p} \right)}}} \right\rbrack}}} & {{Equation}\mspace{14mu} 1} \end{matrix}$ where: δ_(p) is defined in Equation 2; P is a set of all genomic positions of interest; p is a polymorphic site in a set P; G_(rp) is the genotype of the recipient r at genomic site/position p; G_(dp) is the genotype of the donor d at site p; $\begin{matrix} {{\delta_{p}\left( {G_{rp},G_{dp}} \right)} = {\sum\limits_{a \in G_{dp}}\; \left\{ \begin{matrix} 0 & {{{if}\mspace{14mu} a} \in G_{r,p}} \\ 1 & {otherwise} \end{matrix} \right.}} & {{Equation}\mspace{14mu} 2} \end{matrix}$ where a is an allele; (d) determining whether the allogenomics mismatch score is greater than a threshold; and (e) identifying whether the recipient is in need of treatment, or may develop a need for treatment, when the allogenomics mismatch score is greater than a threshold value.
 15. The method of claim 14, further comprising isolating genomic DNA from the donor and the recipient for the assaying.
 16. The method of claim 14, wherein assaying comprises genomic DNA fragmentation, DNA sequencing, primer extension, microarray sequence analysis, SNP analysis, polymerase chain reaction, or a combination thereof.
 17. The method of claim 14, wherein assaying comprises sequencing exons in genomic DNA samples obtained from the donor and separately sequencing exons in genomic DNA samples obtained from the recipient.
 18. The method of claim 14, wherein assaying comprises sequencing exons encoding transmembrane proteins, assaying comprises sequencing exons that do not encode human leukocyte antigens, or a combination thereof.
 19. The method of claim 14, wherein amino acid mismatches between the recipient and the donor that can be recognized as non-self by the recipient can cause an immunologic response in the recipient after an organ of the donor is transplanted in the recipient.
 20. The method of claim 14, wherein amino acid mismatches between the recipient and the donor that can be recognized as non-self by the recipient comprise amino acid mismatches in membrane proteins.
 21. The method of claim 14, wherein amino acid mismatches between the recipient and the donor that can be recognized as non-self by the recipient comprise amino acid mismatches in extracellular domains of membrane proteins.
 22. The method of claim 14, further comprising treating the recipient when the allogenomics mismatch score is greater than
 1500. 23. The method of claim 14, further comprising administering immunosuppression therapy to the recipient when the allogenomics mismatch score is greater than
 1500. 24. The method of claim 1, wherein the organ is a kidney, a heart, a liver, a lung, a bladder, an intestine, a trachea, an esophagus, a pancreas, a stomach, a thymus, an ovary, a cervix, a uterus, a vagina, a penis, a prostate, a testes, a vascular tissue, a neuronal tissue, a muscular tissue, an adipose tissue, a pancreatic islet tissue, a bone tissue, bone marrow, skin, dermal tissue, stem cell, connective tissue, or a combination or part thereof.
 25. An apparatus comprising: (a) a component for separately assaying amino acid mismatches encoded by multiple donor genomes that at least one selected recipient immune system could recognize as non-self; (b) a component for separately summing the donor amino acid mismatches assayed by comparison to amino acids encoded by each selected recipient; (c) a component for determining an allogenomics mismatch score Δ(r,d) for at least one recipient r and one or more donor d, which is a sum of mismatches as shown in Equation 1: $\begin{matrix} {{\Delta \left( {r,d} \right)} = {\sum\limits_{p \in P}\; {\delta_{p}\left\lbrack {{G_{rp} = {{genotype}\left( {r,p} \right)}},{G_{dp} = {{genotype}\left( {d,p} \right)}}} \right\rbrack}}} & {{Equation}\mspace{14mu} 1} \end{matrix}$ where: δ_(p) is defined in Equation 2; P is a set of all genomic positions of interest: p is a polymorphic site in a set P; G_(rp) is the genotype of the recipient r at genomic site/position p; G_(dp) is the genotype of the donor d at site p; $\begin{matrix} {{\delta_{p}\left( {G_{rp},G_{dp}} \right)} = {\sum\limits_{a \in G_{dp}}\; \left\{ \begin{matrix} 0 & {{{if}\mspace{14mu} a} \in G_{r,p}} \\ 1 & {otherwise} \end{matrix} \right.}} & {{Equation}\mspace{14mu} 2} \end{matrix}$ where a is an allele; and (d) a component for determining a match among potential organ donors for at least one recipient in need of a transplanted organ by identifying one or more donor with a allogenomics mismatch score less than a threshold value, or by identifying the donor with the lowest allogenomics mismatch score for a selected recipient.
 26. The apparatus of claim 25, further comprising a component for isolating and/or purifying genomic DNA from the donors and at least one recipient and assaying the number of amino acid differences encoded by the donor genomes that at least one recipient immune system could recognize as non-self.
 27. The apparatus of claim 25, wherein the component for separately assaying amino acid mismatches can separately assay at least 10 donor samples and/or at least 10 recipient samples.
 28. The apparatus of claim 25, wherein the component for separately assaying amino acid mismatches comprises at least one chamber for genomic DNA fragmentation, DNA sequencing, primer extension, microarray sequence analysis, SNP analysis, polymerase chain reaction, or a combination thereof.
 29. The apparatus of claim 25, wherein the component for separately assaying amino acid mismatches comprises at least one chamber comprising primers for sequencing exons in genomic DNA samples obtained from the donor, and/or at least one chamber comprising primers for separately sequencing exons in genomic DNA samples obtained from the recipient.
 30. The apparatus of claim 25, wherein the component for separately assaying amino acid mismatches comprises primers that selectively hybridize to exons that encode a protein segment that can cause an immunologic response in the recipient when an organ of the donor is transplanted in the recipient.
 31. The apparatus of claim 25, wherein the component for separately assaying amino acid mismatches comprises primers that selectively hybridize to exons encoding transmembrane proteins, primers that selectively hybridize to exons that do not encode human leukocyte antigens, or a combination thereof.
 32. The apparatus of claim 25, wherein the component for separately assaying amino acid mismatches comprises primers that selectively hybridize to exons encoding membrane proteins with extracellular domains.
 33. The apparatus of claim 25, wherein the component for summing identifies polymorphisms that are present in the donor compared to the recipient.
 34. The apparatus of claim 25, wherein the component for summing of amino acid mismatches does not sum recipient polymorphisms that are not present in the donor. 